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\n  \n 2024\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n Error Analysis of NLP Models and Non-Native Speakers of English – Identifying Sarcasm in Reddit Comments.\n \n \n \n\n\n \n Cakebread-Andrews, O.; Ha, L. A.; Frommholz, I.; and Can, B.\n\n\n \n\n\n\n In Proceedings LREC-COLING 2024, Turin, Italy, May 2024. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{cakebread-andrews_error_2024,\n\taddress = {Turin, Italy},\n\ttitle = {Error {Analysis} of {NLP} {Models} and {Non}-{Native} {Speakers} of {English} – {Identifying} {Sarcasm} in {Reddit} {Comments}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings {LREC}-{COLING} 2024},\n\tauthor = {Cakebread-Andrews, Oliver and Ha, Le An and Frommholz, Ingo and Can, Burcu},\n\tmonth = may,\n\tyear = {2024},\n}\n\n
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\n \n\n \n \n \n \n \n Bibliometric-Enhanced Information Retrieval: 14th International BIR Workshop (BIR 2024).\n \n \n \n\n\n \n Frommholz, I.; Mayr, P.; Cabanac, G.; and Verberne, S.\n\n\n \n\n\n\n In Goharian, N.; Tonellotto, N.; He, Y.; Lipani, A.; McDonald, G.; Macdonald, C.; and Ounis, I., editor(s), Advances in Information Retrieval, pages 442–446, Cham, 2024. Springer Nature Switzerland\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{frommholz_bibliometric-enhanced_2024,\n\taddress = {Cham},\n\ttitle = {Bibliometric-{Enhanced} {Information} {Retrieval}: 14th {International} {BIR} {Workshop} ({BIR} 2024)},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-031-56069-9},\n\tshorttitle = {Bibliometric-{Enhanced} {Information} {Retrieval}},\n\tdoi = {10.1007/978-3-031-56069-9_61},\n\tabstract = {The 14th iteration of the Bibliometric-enhanced Information Retrieval (BIR) workshopseries takes place at ECIR 2024 as a full-day workshop. BIR addresses research topics related to academic search and recommendation, at the intersection of Information Retrieval, Natural Language Processing, and Bibliometrics. As an interdisciplinary scientific event, BIR brings together researchers and practitioners from the Scientometrics/Bibliometrics community on the one hand, and the Information Retrieval and NLP communities on the other hand. BIR is an ever-growing topic investigated by both academia and the industry.},\n\tlanguage = {en},\n\tbooktitle = {Advances in {Information} {Retrieval}},\n\tpublisher = {Springer Nature Switzerland},\n\tauthor = {Frommholz, Ingo and Mayr, Philipp and Cabanac, Guillaume and Verberne, Suzan},\n\teditor = {Goharian, Nazli and Tonellotto, Nicola and He, Yulan and Lipani, Aldo and McDonald, Graham and Macdonald, Craig and Ounis, Iadh},\n\tyear = {2024},\n\tpages = {442--446},\n}\n\n
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\n The 14th iteration of the Bibliometric-enhanced Information Retrieval (BIR) workshopseries takes place at ECIR 2024 as a full-day workshop. BIR addresses research topics related to academic search and recommendation, at the intersection of Information Retrieval, Natural Language Processing, and Bibliometrics. As an interdisciplinary scientific event, BIR brings together researchers and practitioners from the Scientometrics/Bibliometrics community on the one hand, and the Information Retrieval and NLP communities on the other hand. BIR is an ever-growing topic investigated by both academia and the industry.\n
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\n \n\n \n \n \n \n \n \n Forged-GAN-BERT: Authorship Attribution for LLM-Generated Forged Novels.\n \n \n \n \n\n\n \n Silva, K.; Frommholz, I.; Can, B.; Blain, F.; Sarwar, R.; and Ugolini, L.\n\n\n \n\n\n\n In Falk, N.; Papi, S.; and Zhang, M., editor(s), Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024): Student Research Workshop, pages 325–337, St. Julian's, Malta, March 2024. Association for Computational Linguistics\n \n\n\n\n
\n\n\n\n \n \n \"Forged-GAN-BERT:Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{silva_forged-gan-bert:_2024,\n\taddress = {St. Julian's, Malta},\n\ttitle = {Forged-{GAN}-{BERT}: {Authorship} {Attribution} for {LLM}-{Generated} {Forged} {Novels}},\n\tcopyright = {All rights reserved},\n\tshorttitle = {Forged-{GAN}-{BERT}},\n\turl = {https://aclanthology.org/2024.eacl-srw.26},\n\tabstract = {The advancement of generative Large Language Models (LLMs), capable of producing human-like texts, introduces challenges related to the authenticity of the text documents. This requires exploring potential forgery scenarios within the context of authorship attribution, especially in the literary domain. Particularly,two aspects of doubted authorship may arise in novels, as a novel may be imposed by a renowned author or include a copied writing style of a well-known novel. To address these concerns, we introduce Forged-GAN-BERT, a modified GANBERT-based model to improve the classification of forged novels in two data-augmentation aspects: via the Forged Novels Generator (i.e., ChatGPT) and the generator in GAN. Compared to other transformer-based models, the proposed Forged-GAN-BERT model demonstrates an improved performance with F1 scores of 0.97 and 0.71 for identifying forged novels in single-author and multi-author classification settings. Additionally, we explore different prompt categories for generating the forged novels to analyse the quality of the generated texts using different similarity distance measures, including ROUGE-1, Jaccard Similarity, Overlap Confident, and Cosine Similarity.},\n\turldate = {2024-03-15},\n\tbooktitle = {Proceedings of the 18th {Conference} of the {European} {Chapter} of the {Association} for {Computational} {Linguistics} ({EACL} 2024): {Student} {Research} {Workshop}},\n\tpublisher = {Association for Computational Linguistics},\n\tauthor = {Silva, Kanishka and Frommholz, Ingo and Can, Burcu and Blain, Fred and Sarwar, Raheem and Ugolini, Laura},\n\teditor = {Falk, Neele and Papi, Sara and Zhang, Mike},\n\tmonth = mar,\n\tyear = {2024},\n\tpages = {325--337},\n}\n\n
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\n The advancement of generative Large Language Models (LLMs), capable of producing human-like texts, introduces challenges related to the authenticity of the text documents. This requires exploring potential forgery scenarios within the context of authorship attribution, especially in the literary domain. Particularly,two aspects of doubted authorship may arise in novels, as a novel may be imposed by a renowned author or include a copied writing style of a well-known novel. To address these concerns, we introduce Forged-GAN-BERT, a modified GANBERT-based model to improve the classification of forged novels in two data-augmentation aspects: via the Forged Novels Generator (i.e., ChatGPT) and the generator in GAN. Compared to other transformer-based models, the proposed Forged-GAN-BERT model demonstrates an improved performance with F1 scores of 0.97 and 0.71 for identifying forged novels in single-author and multi-author classification settings. Additionally, we explore different prompt categories for generating the forged novels to analyse the quality of the generated texts using different similarity distance measures, including ROUGE-1, Jaccard Similarity, Overlap Confident, and Cosine Similarity.\n
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\n \n\n \n \n \n \n \n \n House of Lords Communications and Digital Select Committee inquiry: The future of news: impartiality, trust, and technology — Written Evidence (FON0031).\n \n \n \n \n\n\n \n Frommholz, I.; Maček, S.; and Wyatt, C.\n\n\n \n\n\n\n February 2024.\n \n\n\n\n
\n\n\n\n \n \n \"HousePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{frommholz_house_2024,\n\ttitle = {House of {Lords} {Communications} and {Digital} {Select} {Committee} inquiry: {The} future of news: impartiality, trust, and technology — {Written} {Evidence} ({FON0031})},\n\tcopyright = {All rights reserved},\n\turl = {https://committees.parliament.uk/writtenevidence/128380/html/},\n\turldate = {2024-03-06},\n\tauthor = {Frommholz, Ingo and Maček, Sebastijan and Wyatt, Chris},\n\tmonth = feb,\n\tyear = {2024},\n}\n\n
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\n \n\n \n \n \n \n \n \n JayBot – Aiding University Students and Admission with an LLM-based Chatbot.\n \n \n \n \n\n\n \n Odede, J.; and Frommholz, I.\n\n\n \n\n\n\n In Proceedings ACM SIGIR Conference on Human Information Interaction And Retrieval (CHIIR 2024), pages 391–395, 2024. ACM\n \n\n\n\n
\n\n\n\n \n \n \"JayBotPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{odede_jaybot_2024,\n\ttitle = {{JayBot} -- {Aiding} {University} {Students} and {Admission} with an {LLM}-based {Chatbot}},\n\tcopyright = {All rights reserved},\n\turl = {https://dl.acm.org/doi/10.1145/3627508.3638293},\n\tdoi = {https://doi.org/10.1145/3627508.3638293},\n\tbooktitle = {Proceedings {ACM} {SIGIR} {Conference} on {Human} {Information} {Interaction} {And} {Retrieval} ({CHIIR} 2024)},\n\tpublisher = {ACM},\n\tauthor = {Odede, Julius and Frommholz, Ingo},\n\tyear = {2024},\n\tpages = {391--395},\n}\n\n
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\n \n\n \n \n \n \n \n \n Protect our environment from information overload.\n \n \n \n \n\n\n \n Hołyst, J. A.; Mayr, P.; Thelwall, M.; Frommholz, I.; Havlin, S.; Sela, A.; Kenett, Y. N.; Helic, D.; Rehar, A.; Maček, S. R.; Kazienko, P.; Kajdanowicz, T.; Biecek, P.; Szymanski, B. K.; and Sienkiewicz, J.\n\n\n \n\n\n\n Nature Human Behaviour,1–2. February 2024.\n Publisher: Nature Publishing Group\n\n\n\n
\n\n\n\n \n \n \"ProtectPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 6 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{holyst_protect_2024,\n\ttitle = {Protect our environment from information overload},\n\tcopyright = {2024 The Author(s), under exclusive licence to Springer Nature Limited},\n\tissn = {2397-3374},\n\turl = {https://www.nature.com/articles/s41562-024-01833-8.epdf?sharing_token=oLDOEjbfhdJ36GPOjzULNdRgN0jAjWel9jnR3ZoTv0NFoDk3diBFFDQnQAR9f7F12B2POV316p8OIj4GaoUzDBn9C139OmraLmxvtLa7ELMk6GaQiKhUNPgZYFQyPk9wGln-DtJuGOoaTHDEX0FHqq1isgG2q8As9M7fjRlu2tE%3D},\n\tdoi = {10.1038/s41562-024-01833-8},\n\tlanguage = {en},\n\turldate = {2024-02-07},\n\tjournal = {Nature Human Behaviour},\n\tauthor = {Hołyst, Janusz A. and Mayr, Philipp and Thelwall, Michael and Frommholz, Ingo and Havlin, Shlomo and Sela, Alon and Kenett, Yoed N. and Helic, Denis and Rehar, Aljoša and Maček, Sebastijan R. and Kazienko, Przemysław and Kajdanowicz, Tomasz and Biecek, Przemysław and Szymanski, Boleslaw K. and Sienkiewicz, Julian},\n\tmonth = feb,\n\tyear = {2024},\n\tnote = {Publisher: Nature Publishing Group},\n\tpages = {1--2},\n}\n\n
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\n  \n 2023\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n Bibliometric-enhanced information retrieval: 13th international BIR workshop (BIR 2023).\n \n \n \n\n\n \n Frommholz, I.; Mayr, P.; Cabanac, G.; and Verberne, S.\n\n\n \n\n\n\n In Kamps, J.; Goeuriot, L.; Crestani, F.; Maistro, M.; Joho, H.; Davis, B.; Gurrin, C.; Kruschwitz, U.; and Caputo, A., editor(s), Advances in information retrieval, pages 392–397, Cham, 2023. Springer Nature Switzerland\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{frommholz_bibliometric-enhanced_2023,\n\taddress = {Cham},\n\ttitle = {Bibliometric-enhanced information retrieval: 13th international {BIR} workshop ({BIR} 2023)},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-031-28241-6},\n\tabstract = {The 13th iterationof the Bibliometric-enhanced Information Retrieval (BIR) workshop series will take place at ECIR 2023 as a full-day workshop. BIR tackles issues related to, for instance, academic search and recommendation, at the intersection of Information Retrieval, Natural Language Processing, and Bibliometrics. As an interdisciplinary scientific event, BIR brings together researchers and practitioners from the Scientometrics/Bibliometrics community on the one hand, and the Information Retrieval community on the other hand. BIR is an ever-growing topic investigated by both academia and the industry.},\n\tbooktitle = {Advances in information retrieval},\n\tpublisher = {Springer Nature Switzerland},\n\tauthor = {Frommholz, Ingo and Mayr, Philipp and Cabanac, Guillaume and Verberne, Suzan},\n\teditor = {Kamps, Jaap and Goeuriot, Lorraine and Crestani, Fabio and Maistro, Maria and Joho, Hideo and Davis, Brian and Gurrin, Cathal and Kruschwitz, Udo and Caputo, Annalina},\n\tyear = {2023},\n\tpages = {392--397},\n}\n\n
\n
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\n The 13th iterationof the Bibliometric-enhanced Information Retrieval (BIR) workshop series will take place at ECIR 2023 as a full-day workshop. BIR tackles issues related to, for instance, academic search and recommendation, at the intersection of Information Retrieval, Natural Language Processing, and Bibliometrics. As an interdisciplinary scientific event, BIR brings together researchers and practitioners from the Scientometrics/Bibliometrics community on the one hand, and the Information Retrieval community on the other hand. BIR is an ever-growing topic investigated by both academia and the industry.\n
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\n \n\n \n \n \n \n \n \n Parallelization Strategies for Graph-Code-Based Similarity Search.\n \n \n \n \n\n\n \n Steinert, P.; Wagenpfeil, S.; Mc Kevitt, P.; Frommholz, I.; and Hemmje, M.\n\n\n \n\n\n\n Big Data and Cognitive Computing, 7(2): 70. April 2023.\n \n\n\n\n
\n\n\n\n \n \n \"ParallelizationPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{steinert_parallelization_2023,\n\ttitle = {Parallelization {Strategies} for {Graph}-{Code}-{Based} {Similarity} {Search}},\n\tvolume = {7},\n\tcopyright = {All rights reserved},\n\tissn = {2504-2289},\n\turl = {https://www.mdpi.com/2504-2289/7/2/70},\n\tdoi = {10.3390/bdcc7020070},\n\tabstract = {The volume of multimedia assets in collections is growing exponentially, and the retrieval of information is becoming more complex. The indexing and retrieval of multimedia content is generally implemented by employing feature graphs. Feature graphs contain semantic information on multimedia assets. Machine learning can produce detailed semantic information on multimedia assets, reflected in a high volume of nodes and edges in the feature graphs. While increasing the effectiveness of the information retrieval results, the high level of detail and also the growing collections increase the processing time. Addressing this problem, Multimedia Feature Graphs (MMFGs) and Graph Codes (GCs) have been proven to be fast and effective structures for information retrieval. However, the huge volume of data requires more processing time. As Graph Code algorithms were designed to be parallelizable, different paths of parallelization can be employed to prove or evaluate the scalability options of Graph Code processing. These include horizontal and vertical scaling with the use of Graphic Processing Units (GPUs), Multicore Central Processing Units (CPUs), and distributed computing. In this paper, we show how different parallelization strategies based on Graph Codes can be combined to provide a significant improvement in efficiency. Our modeling work shows excellent scalability with a theoretical speedup of 16,711 on a top-of-the-line Nvidia H100 GPU with 16,896 cores. Our experiments with a mediocre GPU show that a speedup of 225 can be achieved and give credence to the theoretical speedup. Thus, Graph Codes provide fast and effective multimedia indexing and retrieval, even in billion-scale use cases.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2023-06-06},\n\tjournal = {Big Data and Cognitive Computing},\n\tauthor = {Steinert, Patrick and Wagenpfeil, Stefan and Mc Kevitt, Paul and Frommholz, Ingo and Hemmje, Matthias},\n\tmonth = apr,\n\tyear = {2023},\n\tpages = {70},\n}\n\n
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\n The volume of multimedia assets in collections is growing exponentially, and the retrieval of information is becoming more complex. The indexing and retrieval of multimedia content is generally implemented by employing feature graphs. Feature graphs contain semantic information on multimedia assets. Machine learning can produce detailed semantic information on multimedia assets, reflected in a high volume of nodes and edges in the feature graphs. While increasing the effectiveness of the information retrieval results, the high level of detail and also the growing collections increase the processing time. Addressing this problem, Multimedia Feature Graphs (MMFGs) and Graph Codes (GCs) have been proven to be fast and effective structures for information retrieval. However, the huge volume of data requires more processing time. As Graph Code algorithms were designed to be parallelizable, different paths of parallelization can be employed to prove or evaluate the scalability options of Graph Code processing. These include horizontal and vertical scaling with the use of Graphic Processing Units (GPUs), Multicore Central Processing Units (CPUs), and distributed computing. In this paper, we show how different parallelization strategies based on Graph Codes can be combined to provide a significant improvement in efficiency. Our modeling work shows excellent scalability with a theoretical speedup of 16,711 on a top-of-the-line Nvidia H100 GPU with 16,896 cores. Our experiments with a mediocre GPU show that a speedup of 225 can be achieved and give credence to the theoretical speedup. Thus, Graph Codes provide fast and effective multimedia indexing and retrieval, even in billion-scale use cases.\n
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\n \n\n \n \n \n \n \n \n An Extended Study of Search User Interface Design Focused on Hofstede's Cultural Dimensions.\n \n \n \n \n\n\n \n Chessum, K.; Liu, H.; and Frommholz, I.\n\n\n \n\n\n\n In Holzinger, A.; Da Silva, H. P.; Vanderdonckt, J.; and Constantine, L., editor(s), Computer-Human Interaction Research and Applications, volume 1882, pages 130–152, Cham, 2023. Springer Nature Switzerland\n Series Title: Communications in Computer and Information Science\n\n\n\n
\n\n\n\n \n \n \"AnPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{holzinger_extended_2023,\n\taddress = {Cham},\n\ttitle = {An {Extended} {Study} of {Search} {User} {Interface} {Design} {Focused} on {Hofstede}'s {Cultural} {Dimensions}},\n\tvolume = {1882},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-031-41961-4 978-3-031-41962-1},\n\turl = {https://link.springer.com/10.1007/978-3-031-41962-1_7},\n\tabstract = {Geert Hofstede’s classic cultural model has been studied and applied to website design for a number of years. In this paper we examine if Geert Hofstede’s six cultural dimensions can also be applied to search user interface design. Two user studies have been conducted to evaluate the culturally designed search user interfaces, and the findings are reported in this paper. Our first study comprised of 148 participants from different cultural backgrounds. The second study was smaller with 25 participants, also from different cultural backgrounds. The results from these studies have been analyzed to ascertain if Hofstede’s cultural dimensions are suitable for understanding users’ preferences for search user interface design. Whilst the key findings from these studies suggest Hofstede cross-cultural dimensions can be used to model users’ preferences on search interface design, further work is still needed for particular cultural dimensions to reinforce the conclusions.},\n\tlanguage = {en},\n\turldate = {2023-08-30},\n\tbooktitle = {Computer-{Human} {Interaction} {Research} and {Applications}},\n\tpublisher = {Springer Nature Switzerland},\n\tauthor = {Chessum, Karen and Liu, Haiming and Frommholz, Ingo},\n\teditor = {Holzinger, Andreas and Da Silva, Hugo Plácido and Vanderdonckt, Jean and Constantine, Larry},\n\tyear = {2023},\n\tdoi = {10.1007/978-3-031-41962-1_7},\n\tnote = {Series Title: Communications in Computer and Information Science},\n\tpages = {130--152},\n}\n\n
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\n Geert Hofstede’s classic cultural model has been studied and applied to website design for a number of years. In this paper we examine if Geert Hofstede’s six cultural dimensions can also be applied to search user interface design. Two user studies have been conducted to evaluate the culturally designed search user interfaces, and the findings are reported in this paper. Our first study comprised of 148 participants from different cultural backgrounds. The second study was smaller with 25 participants, also from different cultural backgrounds. The results from these studies have been analyzed to ascertain if Hofstede’s cultural dimensions are suitable for understanding users’ preferences for search user interface design. Whilst the key findings from these studies suggest Hofstede cross-cultural dimensions can be used to model users’ preferences on search interface design, further work is still needed for particular cultural dimensions to reinforce the conclusions.\n
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\n \n\n \n \n \n \n \n \n Towards the Integration of Metaverse and Multimedia Information Retrieval.\n \n \n \n \n\n\n \n Steinert, P.; Wagenpfeil, S.; Frommholz, I.; and Hemmje, M. L.\n\n\n \n\n\n\n In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), pages 581–586, 2023. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{steinert_towards_2023,\n\ttitle = {Towards the {Integration} of {Metaverse} and {Multimedia} {Information} {Retrieval}},\n\tcopyright = {All rights reserved},\n\turl = {https://ieeexplore.ieee.org/abstract/document/10405728/},\n\tdoi = {10.1109/MetroXRAINE58569.2023.10405728},\n\turldate = {2024-02-07},\n\tbooktitle = {2023 {IEEE} {International} {Conference} on {Metrology} for {eXtended} {Reality}, {Artificial} {Intelligence} and {Neural} {Engineering} ({MetroXRAINE})},\n\tpublisher = {IEEE},\n\tauthor = {Steinert, Patrick and Wagenpfeil, Stefan and Frommholz, Ingo and Hemmje, Matthias L.},\n\tyear = {2023},\n\tpages = {581--586},\n}\n\n
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\n \n\n \n \n \n \n \n \n Proceedings of the 13th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2023).\n \n \n \n \n\n\n \n Frommholz, I.; Mayr, P.; Cabanac, G.; Verberne, S.; and Brennan, J.\n\n\n \n\n\n\n Volume 3617 of CEUR Workshop ProceedingsCEUR-WS.org, Dublin, Ireland, 2023.\n ISSN: 1613-0073\n\n\n\n
\n\n\n\n \n \n \"ProceedingsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{frommholz_proceedings_2023,\n\taddress = {Dublin, Ireland},\n\tseries = {{CEUR} {Workshop} {Proceedings}},\n\ttitle = {Proceedings of the 13th {International} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} ({BIR} 2023)},\n\tvolume = {3617},\n\tcopyright = {All rights reserved},\n\turl = {https://ceur-ws.org/Vol-3617/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Frommholz, Ingo and Mayr, Philipp and Cabanac, Guillaume and Verberne, Suzan and Brennan, Jordan},\n\tyear = {2023},\n\tnote = {ISSN: 1613-0073},\n}\n\n
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\n \n\n \n \n \n \n \n \n Preface to the 13th Workshop on Bibliometric-enhanced Information Retrieval at ECIR 2023.\n \n \n \n \n\n\n \n Frommholz, I.; Mayr, P.; Cabanac, G.; Verberne, S.; and Brennan, J.\n\n\n \n\n\n\n In Frommholz, I.; Mayr, P.; Cabanac, G.; Verberne, S.; and Brennan, J., editor(s), Proceedings of the 13th International Workshop on Bibliometric-enhanced Information Retrieval, volume 3617, of CEUR Workshop Proceedings, pages 1–3, Dublin, Ireland, April 2023. CEUR\n ISSN: 1613-0073\n\n\n\n
\n\n\n\n \n \n \"PrefacePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{frommholz_preface_2023,\n\taddress = {Dublin, Ireland},\n\tseries = {{CEUR} {Workshop} {Proceedings}},\n\ttitle = {Preface to the 13th {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} at {ECIR}                         2023},\n\tvolume = {3617},\n\tcopyright = {Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC-BY-NC-ND)},\n\turl = {https://ceur-ws.org/Vol-3617/#paper-01},\n\tlanguage = {en},\n\turldate = {2024-01-15},\n\tbooktitle = {Proceedings of the 13th {International} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval}},\n\tpublisher = {CEUR},\n\tauthor = {Frommholz, Ingo and Mayr, Philipp and Cabanac, Guillaume and Verberne, Suzan and Brennan, Jordan},\n\teditor = {Frommholz, Ingo and Mayr, Philipp and Cabanac, Guillaume and Verberne, Suzan and Brennan, Jordan},\n\tmonth = apr,\n\tyear = {2023},\n\tnote = {ISSN: 1613-0073},\n\tpages = {1--3},\n}\n\n
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\n \n\n \n \n \n \n \n \n CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management.\n \n \n \n \n\n\n \n Frommholz, I.; Hopfgartner, F.; Lee, M.; Oakes, M.; Lalmas, M.; Zhang, M.; and Santos, R.,\n editors.\n \n\n\n \n\n\n\n ACM, Birmingham, UK, 2023.\n \n\n\n\n
\n\n\n\n \n \n \"CIKMPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{cikm2023,\n\taddress = {Birmingham, UK},\n\ttitle = {{CIKM} '23: {Proceedings} of the 32nd {ACM} {International} {Conference} on {Information} and {Knowledge} {Management}},\n\tcopyright = {All rights reserved},\n\tisbn = {979-8-4007-0124-5},\n\turl = {https://dl.acm.org/doi/proceedings/10.1145/3583780},\n\tpublisher = {ACM},\n\teditor = {Frommholz, Ingo and Hopfgartner, Frank and Lee, Mark and Oakes, Michael and Lalmas, Mounia and Zhang, Min and Santos, Rodrygo},\n\tyear = {2023},\n}\n\n
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\n \n\n \n \n \n \n \n \n Who can Submit an Excellent Review for this Manuscript in the Next 30 Days? - Peer Reviewing in the Age of Overload.\n \n \n \n \n\n\n \n Alhoori, H.; Fox, E. A.; Frommholz, I.; Liu, H.; Coupette, C.; Rieck, B. A.; Ghosal, T.; and Wu, J.\n\n\n \n\n\n\n In 2023 ACM/IEEE Joint Conference on Digital Libraries (JCDL), pages 319–320, Santa Fe, NM, USA, June 2023. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"WhoPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{alhoori_who_2023,\n\taddress = {Santa Fe, NM, USA},\n\ttitle = {Who can {Submit} an {Excellent} {Review} for this {Manuscript} in the {Next} 30 {Days}? - {Peer} {Reviewing} in the {Age} of {Overload}},\n\tcopyright = {All rights reserved},\n\tisbn = {9798350399318},\n\tshorttitle = {Who can {Submit} an {Excellent} {Review} for this {Manuscript} in the {Next} 30 {Days}?},\n\turl = {https://ieeexplore.ieee.org/document/10265918/},\n\tdoi = {10.1109/JCDL57899.2023.00077},\n\tabstract = {With millions of research articles published yearly, the peer review process is in danger of collapsing, especially in “hot” areas with popular conferences. Challenges arise from the large number of manuscripts submitted, skyrocketing use of preprint archives and institutional repositories, problems regarding the identification and availability of experts, conflicts of interest, and bias in reviewing. Such issues can affect the integrity of the reviewing process as well as the timeliness, quality, credibility, and reproducibility of research articles. Several solutions and systems have been suggested, but none work well, and neither authors nor editors are happy with how long it takes to complete reviewing the submitted research. This panel addresses these challenges and potential solutions, including digital libraries that recommend reviewers, as well as broader issues like opportunities for identifying peer reviewers for scholarly journals by engaging doctoral students and postdocs, as well as those who recently completed their Ph.D.},\n\tlanguage = {en},\n\turldate = {2023-10-04},\n\tbooktitle = {2023 {ACM}/{IEEE} {Joint} {Conference} on {Digital} {Libraries} ({JCDL})},\n\tpublisher = {IEEE},\n\tauthor = {Alhoori, Hamed and Fox, Edward A. and Frommholz, Ingo and Liu, Haiming and Coupette, Corinna and Rieck, Bastian A. and Ghosal, Tirthankar and Wu, Jian},\n\tmonth = jun,\n\tyear = {2023},\n\tpages = {319--320},\n}\n\n
\n
\n\n\n
\n With millions of research articles published yearly, the peer review process is in danger of collapsing, especially in “hot” areas with popular conferences. Challenges arise from the large number of manuscripts submitted, skyrocketing use of preprint archives and institutional repositories, problems regarding the identification and availability of experts, conflicts of interest, and bias in reviewing. Such issues can affect the integrity of the reviewing process as well as the timeliness, quality, credibility, and reproducibility of research articles. Several solutions and systems have been suggested, but none work well, and neither authors nor editors are happy with how long it takes to complete reviewing the submitted research. This panel addresses these challenges and potential solutions, including digital libraries that recommend reviewers, as well as broader issues like opportunities for identifying peer reviewers for scholarly journals by engaging doctoral students and postdocs, as well as those who recently completed their Ph.D.\n
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\n \n\n \n \n \n \n \n \n What if ChatGPT wrote the Abstract? - Explainable Multi-Authorship Attribution with a Data Augmentation Strategy.\n \n \n \n \n\n\n \n Silva, K.; and Frommholz, I.\n\n\n \n\n\n\n In Proceedings of the IACT - The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT@SIGIR 2023), pages 38–48, Taipei, Taiwan, 2023. CEUR-WS.org\n \n\n\n\n
\n\n\n\n \n \n \"WhatPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{silva_what_2023,\n\taddress = {Taipei, Taiwan},\n\ttitle = {What if {ChatGPT} wrote the {Abstract}? - {Explainable} {Multi}-{Authorship} {Attribution} with a {Data} {Augmentation} {Strategy}},\n\tcopyright = {Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC-BY-NC-ND)},\n\turl = {https://ceur-ws.org/Vol-3477/paper6.pdf},\n\tabstract = {Active discussions have been conducted regarding implications and issues associated with Large Language Models (LLMs) such as ChatGPT across various domains. One particular concern is the effect of machinegenerated texts, which include a new category in authorship attribution models: machine-generated text resembling human text in topic and writing style. Differentiating human-vs-AI-written text in scientific articles is crucial for several reasons. In this work, we approach this issue from a multi-authorship perspective by investigating automatically generated abstracts. We propose a multimodal transformer which combines handcrafted stylometric features with deep learning-based text features to perform multi-author attribution. We demonstrate the effectiveness of this approach on a curated dataset of 1000 samples and discuss its explainability via the Local Interpretable Model-agnostic Explanations (LIME) framework.},\n\tlanguage = {en},\n\tbooktitle = {Proceedings of the {IACT} - {The} 1st {International} {Workshop} on {Implicit} {Author} {Characterization} from {Texts} for {Search} and {Retrieval} ({IACT}@{SIGIR} 2023)},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Silva, Kanishka and Frommholz, Ingo},\n\tyear = {2023},\n\tpages = {38--48},\n}\n\n
\n
\n\n\n
\n Active discussions have been conducted regarding implications and issues associated with Large Language Models (LLMs) such as ChatGPT across various domains. One particular concern is the effect of machinegenerated texts, which include a new category in authorship attribution models: machine-generated text resembling human text in topic and writing style. Differentiating human-vs-AI-written text in scientific articles is crucial for several reasons. In this work, we approach this issue from a multi-authorship perspective by investigating automatically generated abstracts. We propose a multimodal transformer which combines handcrafted stylometric features with deep learning-based text features to perform multi-author attribution. We demonstrate the effectiveness of this approach on a curated dataset of 1000 samples and discuss its explainability via the Local Interpretable Model-agnostic Explanations (LIME) framework.\n
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\n  \n 2022\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Proceedings of the 12th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2022).\n \n \n \n \n\n\n \n Frommholz, I.; Mayr, P.; Cabanac, G.; and Verberne, S.\n\n\n \n\n\n\n CEUR-WS.org, 2022.\n \n\n\n\n
\n\n\n\n \n \n \"ProceedingsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{frommholz_proceedings_2022,\n\ttitle = {Proceedings of the 12th {International} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} ({BIR} 2022)},\n\tcopyright = {All rights reserved},\n\turl = {https://ceur-ws.org/Vol-3230/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Frommholz, Ingo and Mayr, Philipp and Cabanac, Guillaume and Verberne, Suzan},\n\teditor = {Frommholz, Ingo and Mayr, Philipp and Cabanac, Guillaume and Verberne, Suzan},\n\tyear = {2022},\n}\n\n
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\n \n\n \n \n \n \n \n A Study of Search User Interface Design Based on Hofstede’s Six Cultural Dimensions.\n \n \n \n\n\n \n Chessum, K.; Liu, H.; and Frommholz, I.\n\n\n \n\n\n\n In Proceedings 6th International Conference on Computer-Human Interaction Research and Applications (CHIRA 2022), pages 145–154, Valetta, Malta, October 2022. SciTePress\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Chessum_etal:2022,\n\taddress = {Valetta, Malta},\n\ttitle = {A {Study} of {Search} {User} {Interface} {Design} {Based} on {Hofstede}’s {Six} {Cultural} {Dimensions}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-989-758-609-5},\n\tdoi = {10.5220/0011528700003323},\n\tabstract = {An information seeker’s cultural background could influence their preference for search user interface (UI) design. To study cultural influences Geert Hofstede’s cultural dimensions have been applied to website design for a number of years. In this paper, we examine if Hofstede’s six cultural dimension can be applied to inform the design of search engine user interfaces. The culturally designed search user interfaces have been evaluated in a study with 148 participants of different cultural backgrounds. The results have been analysed to determine if Hofstede’s cultural dimensions are appropriate for understanding users’ preferences on search user interface design. Whilst the key findings from the study suggest Hofstede cross-cultural dimensions can be used to model users’ preferences on search interface design, further work is still needed for particular cultural dimensions to reinforce the conclusions.},\n\tbooktitle = {Proceedings 6th {International} {Conference} on {Computer}-{Human} {Interaction} {Research} and {Applications} ({CHIRA} 2022)},\n\tpublisher = {SciTePress},\n\tauthor = {Chessum, Karen and Liu, Haiming and Frommholz, Ingo},\n\tmonth = oct,\n\tyear = {2022},\n\tpages = {145--154},\n}\n\n
\n
\n\n\n
\n An information seeker’s cultural background could influence their preference for search user interface (UI) design. To study cultural influences Geert Hofstede’s cultural dimensions have been applied to website design for a number of years. In this paper, we examine if Hofstede’s six cultural dimension can be applied to inform the design of search engine user interfaces. The culturally designed search user interfaces have been evaluated in a study with 148 participants of different cultural backgrounds. The results have been analysed to determine if Hofstede’s cultural dimensions are appropriate for understanding users’ preferences on search user interface design. Whilst the key findings from the study suggest Hofstede cross-cultural dimensions can be used to model users’ preferences on search interface design, further work is still needed for particular cultural dimensions to reinforce the conclusions.\n
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\n \n\n \n \n \n \n \n Bibliometric-enhanced Information Retrieval: 12th International BIR Workshop (BIR 2022).\n \n \n \n\n\n \n Frommholz, I.; Mayr, P.; Cabanac, G.; and Verberne, S.\n\n\n \n\n\n\n In Proceedings European Conference on Information Retrieval (ECIR 2022), 2022. Springer\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Frommholz2022,\n\ttitle = {Bibliometric-enhanced {Information} {Retrieval}: 12th {International} {BIR} {Workshop} ({BIR} 2022)},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings {European} {Conference} on {Information} {Retrieval} ({ECIR} 2022)},\n\tpublisher = {Springer},\n\tauthor = {Frommholz, Ingo and Mayr, Philipp and Cabanac, Guillaume and Verberne, Suzan},\n\tyear = {2022},\n}\n\n
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\n  \n 2021\n \n \n (10)\n \n \n
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\n \n\n \n \n \n \n \n \n ECIR 2020 workshops: assessing the impact of going online.\n \n \n \n \n\n\n \n Nunes, S.; Little, S.; Bhatia, S.; Boratto, L.; Cabanac, G.; Campos, R.; Couto, F. M.; Faralli, S.; Frommholz, I.; Jatowt, A.; Jorge, A.; Marras, M.; Mayr, P.; and Stilo, G.\n\n\n \n\n\n\n ACM SIGIR Forum, 54(1): 7:1–7:11. February 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ECIRPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{nunes_ecir_2021,\n\ttitle = {{ECIR} 2020 workshops: assessing the impact of going online},\n\tvolume = {54},\n\tcopyright = {All rights reserved},\n\tissn = {0163-5840},\n\tshorttitle = {{ECIR} 2020 workshops},\n\turl = {https://doi.org/10.1145/3451964.3451971},\n\tdoi = {10.1145/3451964.3451971},\n\tabstract = {ECIR 20201 was one of the many conferences affected by the COVID-19 pandemic. The Conference Chairs decided to keep the initially planned dates (April 14-17, 2020) and move to a fully online event. In this report, we describe the experience of organising the ECIR 2020 Workshops in this scenario from two perspectives: the workshop organisers and the workshop participants. We provide a report on the organisational aspect of these events and the consequences for participants. Covering the scientific dimension of each workshop is outside the scope of this article. A detailed account of the main conference can be found in the Spring 2020 edition of BCS Informer [BCS, 2020].},\n\tnumber = {1},\n\turldate = {2024-01-06},\n\tjournal = {ACM SIGIR Forum},\n\tauthor = {Nunes, Sérgio and Little, Suzanne and Bhatia, Sumit and Boratto, Ludovico and Cabanac, Guillaume and Campos, Ricardo and Couto, Francisco M. and Faralli, Stefano and Frommholz, Ingo and Jatowt, Adam and Jorge, Alípio and Marras, Mirko and Mayr, Philipp and Stilo, Giovanni},\n\tmonth = feb,\n\tyear = {2021},\n\tpages = {7:1--7:11},\n}\n\n
\n
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\n ECIR 20201 was one of the many conferences affected by the COVID-19 pandemic. The Conference Chairs decided to keep the initially planned dates (April 14-17, 2020) and move to a fully online event. In this report, we describe the experience of organising the ECIR 2020 Workshops in this scenario from two perspectives: the workshop organisers and the workshop participants. We provide a report on the organisational aspect of these events and the consequences for participants. Covering the scientific dimension of each workshop is outside the scope of this article. A detailed account of the main conference can be found in the Spring 2020 edition of BCS Informer [BCS, 2020].\n
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\n \n\n \n \n \n \n \n \n Proceedings of the 11th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2021).\n \n \n \n \n\n\n \n Frommholz, I.; Mayr, P.; Cabanac, G.; and Verberne, S.\n\n\n \n\n\n\n CEUR-WS.org, 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ProceedingsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{Frommholz2021a,\n\ttitle = {Proceedings of the 11th {International} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} ({BIR} 2021)},\n\tcopyright = {All rights reserved},\n\turl = {https://ceur-ws.org/Vol-2847/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Frommholz, Ingo and Mayr, Philipp and Cabanac, Guillaume and Verberne, Suzan},\n\teditor = {Frommholz, Ingo and Mayr, Philipp and Cabanac, Guillaume and Verberne, Suzan},\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n Report on the 11th Bibliometric-enhanced Information Retrieval Workshop (BIR 2021).\n \n \n \n\n\n \n Frommholz, I.; Cabanac, G.; Mayr, P.; and Verberne, S.\n\n\n \n\n\n\n SIGIR Forum, 55(1): 1–9. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Frommholz2021a,\n\ttitle = {Report on the 11th {Bibliometric}-enhanced {Information} {Retrieval} {Workshop} ({BIR} 2021)},\n\tvolume = {55},\n\tcopyright = {All rights reserved},\n\tdoi = {10.1145/3476415.3476426},\n\tnumber = {1},\n\tjournal = {SIGIR Forum},\n\tauthor = {Frommholz, Ingo and Cabanac, Guillaume and Mayr, Philipp and Verberne, Suzan},\n\tyear = {2021},\n\tpages = {1--9},\n}\n\n
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\n \n\n \n \n \n \n \n AQUACOLD: A Novel Crowdsourced Linked Data Question Answering System.\n \n \n \n\n\n \n Collis, N.; and Frommholz, I.\n\n\n \n\n\n\n In Frommholz, I.; Liu, H.; and Melucci, M., editor(s), Proceedings Second Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2021), pages 11–25, 2021. CEUR-WS.org\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Collis2021,\n\ttitle = {{AQUACOLD}: {A} {Novel} {Crowdsourced} {Linked} {Data} {Question} {Answering} {System}},\n\tcopyright = {All rights reserved},\n\tabstract = {Question Answering (QA) systems provide answers to Natural Language (NL) questions posed by humans. The Linked Data (LD) web provides an ideal knowledge base for QA as the framework expresses structure and relationships between data which assist in question parsing. Despite this, recent attempts at NL QA over LD struggle when faced with complex questions due to the challenges in automatically parsing NL into a structured query language, forcing end users to learn languages such as SPARQLwhich can be challenging for those without a technical background. There is a need for a system which returns accurate answers to complex natural language questions over linked data, improving the accessibility of linked data search by abstracting the complexity of SPARQL whilst retaining its expressivity. This work presents AQUACOLD (Aggregated Query Understanding And Construction Over Linked Data) a novel LD QA system which harnesses the power of crowdsourcing to meet this need. AQUACOLD uses query templates built by other users to answer questions which enables the system to handle queries of significant complexity. This paper provides an overview of the system and presents the results of a technical and user evaluation against the QALD-9 benchmark. Keywords},\n\tbooktitle = {Proceedings {Second} {Workshop} on {Bridging} the {Gap} between {Information} {Science}, {Information} {Retrieval} and {Data} {Science} ({BIRDS} 2021)},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Collis, Nicholas and Frommholz, Ingo},\n\teditor = {Frommholz, Ingo and Liu, Haiming and Melucci, Massimo},\n\tyear = {2021},\n\tpages = {11--25},\n}\n\n
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\n Question Answering (QA) systems provide answers to Natural Language (NL) questions posed by humans. The Linked Data (LD) web provides an ideal knowledge base for QA as the framework expresses structure and relationships between data which assist in question parsing. Despite this, recent attempts at NL QA over LD struggle when faced with complex questions due to the challenges in automatically parsing NL into a structured query language, forcing end users to learn languages such as SPARQLwhich can be challenging for those without a technical background. There is a need for a system which returns accurate answers to complex natural language questions over linked data, improving the accessibility of linked data search by abstracting the complexity of SPARQL whilst retaining its expressivity. This work presents AQUACOLD (Aggregated Query Understanding And Construction Over Linked Data) a novel LD QA system which harnesses the power of crowdsourcing to meet this need. AQUACOLD uses query templates built by other users to answer questions which enables the system to handle queries of significant complexity. This paper provides an overview of the system and presents the results of a technical and user evaluation against the QALD-9 benchmark. Keywords\n
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\n \n\n \n \n \n \n \n Crowdsourced Linked Data Question Answering with AQUACOLD.\n \n \n \n\n\n \n Collis, N.; and Frommholz, I.\n\n\n \n\n\n\n In Procedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2021), 2021. ACM\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Collis2021,\n\ttitle = {Crowdsourced {Linked} {Data} {Question} {Answering} with {AQUACOLD}},\n\tcopyright = {All rights reserved},\n\tabstract = {There is a need for Question Answering (QA) to return accurate answers to complex natural language questions over Linked Data, improving the accessibility of Linked Data (LD) search by abstracting the complexity of SPARQL whilst retaining its expressiveness. This work presents AQUACOLD, a LD QA system which harnesses the power of crowdsourcing to meet this need.},\n\tbooktitle = {Procedings of the {ACM}/{IEEE} {Joint} {Conference} on {Digital} {Libraries} ({JCDL} 2021)},\n\tpublisher = {ACM},\n\tauthor = {Collis, Nicholas and Frommholz, Ingo},\n\tyear = {2021},\n}\n\n
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\n\n\n
\n There is a need for Question Answering (QA) to return accurate answers to complex natural language questions over Linked Data, improving the accessibility of Linked Data (LD) search by abstracting the complexity of SPARQL whilst retaining its expressiveness. This work presents AQUACOLD, a LD QA system which harnesses the power of crowdsourcing to meet this need.\n
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\n \n\n \n \n \n \n \n Semantic Hilbert Space for Interactive Image Retrieval.\n \n \n \n\n\n \n Jaiswal, A. K.; Liu, H.; and Frommholz, I.\n\n\n \n\n\n\n In ICTIR 2021 - Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval, pages 307–315, 2021. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Jaiswal2021,\n\ttitle = {Semantic {Hilbert} {Space} for {Interactive} {Image} {Retrieval}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-8611-1},\n\tdoi = {10.1145/3471158.3472253},\n\tabstract = {The paper introduces a model for interactive image retrieval utilising the geometrical framework of information retrieval (IR). We tackle the problem of image retrieval based on an expressive user information need in form of a textual-visual query, where a user is attempting to find an image similar to the picture in their mind during querying. The user information need is expressed using guided visual feedback based on Information Foraging which lets the user perception embed within the model via semantic Hilbert space (SHS). This framework is based on the mathematical formalism of quantum probabilities and aims to understand the relationship between user textual and image input, where the image in the input is considered a form of visual feedback. We propose SHS, a quantum-inspired approach where the textual-visual query is regarded analogously to a physical system that allows for modelling different system states and their dynamic changes thereof based on observations (such as queries, relevance judgements). We will be able to learn the input multimodal representation and relationships between textual-image queries for retrieving images. Our experiments are conducted on the MIT States and Fashion200k datasets that demonstrate the effectiveness of finding particular images autocratically when the user inputs are semantically expressive.},\n\tbooktitle = {{ICTIR} 2021 - {Proceedings} of the 2021 {ACM} {SIGIR} {International} {Conference} on {Theory} of {Information} {Retrieval}},\n\tauthor = {Jaiswal, Amit Kumar and Liu, Haiming and Frommholz, Ingo},\n\tyear = {2021},\n\tpages = {307--315},\n}\n\n
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\n The paper introduces a model for interactive image retrieval utilising the geometrical framework of information retrieval (IR). We tackle the problem of image retrieval based on an expressive user information need in form of a textual-visual query, where a user is attempting to find an image similar to the picture in their mind during querying. The user information need is expressed using guided visual feedback based on Information Foraging which lets the user perception embed within the model via semantic Hilbert space (SHS). This framework is based on the mathematical formalism of quantum probabilities and aims to understand the relationship between user textual and image input, where the image in the input is considered a form of visual feedback. We propose SHS, a quantum-inspired approach where the textual-visual query is regarded analogously to a physical system that allows for modelling different system states and their dynamic changes thereof based on observations (such as queries, relevance judgements). We will be able to learn the input multimodal representation and relationships between textual-image queries for retrieving images. Our experiments are conducted on the MIT States and Fashion200k datasets that demonstrate the effectiveness of finding particular images autocratically when the user inputs are semantically expressive.\n
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\n \n\n \n \n \n \n \n \n Report on the 2nd Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2021).\n \n \n \n \n\n\n \n Frommholz, I.; Liu, H.; and Melucci, M.\n\n\n \n\n\n\n SIGIR Forum, 55(1): 1–6. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"ReportPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Frommholz2021,\n\ttitle = {Report on the 2nd {Workshop} on {Bridging} the {Gap} between {Information} {Science}, {Information} {Retrieval} and {Data} {Science} ({BIRDS} 2021)},\n\tvolume = {55},\n\tcopyright = {All rights reserved},\n\turl = {https://dl.acm.org/doi/10.1145/3476415.3476423},\n\tnumber = {1},\n\tjournal = {SIGIR Forum},\n\tauthor = {Frommholz, Ingo and Liu, Haiming and Melucci, Massimo},\n\tyear = {2021},\n\tpages = {1--6},\n}\n\n
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\n \n\n \n \n \n \n \n \n Joint Proceedings of Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2021) + Workshop on Evaluation of Personalisation in Information Retrieval (WEPIR 2021).\n \n \n \n \n\n\n \n Frommholz, I.; Liu, H.; Melucci, M.; Belkin, N. J.; Jones, G. J. F.; Kando, N.; and Pasi, G.\n\n\n \n\n\n\n CEUR-WS.org, 2021.\n \n\n\n\n
\n\n\n\n \n \n \"JointPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{Frommholz2021,\n\ttitle = {Joint {Proceedings} of {Bridging} the {Gap} between {Information} {Science}, {Information} {Retrieval} and {Data} {Science} ({BIRDS} 2021) + {Workshop} on {Evaluation} of {Personalisation} in {Information} {Retrieval} ({WEPIR} 2021)},\n\tcopyright = {All rights reserved},\n\turl = {http://ceur-ws.org/Vol-2863/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Frommholz, Ingo and Liu, Haiming and Melucci, Massimo and Belkin, Nicholas J. and Jones, Gareth J. F. and Kando, Noriko and Pasi, Gabriella},\n\teditor = {Frommholz, Ingo and Liu, Haiming and Melucci, Massimo and Belkin, Nicholas J. and Jones, Gareth J. F. and Kando, Noriko and Pasi, Gabriella},\n\tyear = {2021},\n}\n\n
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\n \n\n \n \n \n \n \n BIRDS 2021: Bridging the Gap between Information Science, Information Retrieval and Data Science.\n \n \n \n\n\n \n Frommholz, I.; Liu, H.; and Melucci, M.\n\n\n \n\n\n\n In Scholer, F.; Thomas, P.; Elsweiler, D.; Joho, H.; Kando, N.; and Smith, C., editor(s), CHIIR '21: Proceedings of the 2021 Conference on Human Information Interaction and Retrieval, pages 349–350, Canberra, Australia, 2021. ACM\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Frommholz2021,\n\taddress = {Canberra, Australia},\n\ttitle = {{BIRDS} 2021: {Bridging} the {Gap} between {Information} {Science}, {Information} {Retrieval} and {Data} {Science}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{CHIIR} '21: {Proceedings} of the 2021 {Conference} on {Human} {Information} {Interaction} and {Retrieval}},\n\tpublisher = {ACM},\n\tauthor = {Frommholz, Ingo and Liu, Haiming and Melucci, Massimo},\n\teditor = {Scholer, Falk and Thomas, Paul and Elsweiler, David and Joho, Hideo and Kando, Noriko and Smith, Catherine},\n\tyear = {2021},\n\tpages = {349--350},\n}\n\n
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\n \n\n \n \n \n \n \n Bibliometric-enhanced Information Retrieval: 11th International BIR Workshop.\n \n \n \n\n\n \n Frommholz, I.; Mayr, P.; Cabanac, G.; and Verberne, S.\n\n\n \n\n\n\n In Proceedings ECIR 2021, 2021. Springer\n \n\n\n\n
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@inproceedings{Frommholz2021,\n\ttitle = {Bibliometric-enhanced {Information} {Retrieval}: 11th {International} {BIR} {Workshop}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings {ECIR} 2021},\n\tpublisher = {Springer},\n\tauthor = {Frommholz, Ingo and Mayr, Philipp and Cabanac, Guillaume and Verberne, Suzan},\n\tyear = {2021},\n}\n\n
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\n  \n 2020\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n \n Scholarly literature mining with information retrieval and natural language processing: Preface.\n \n \n \n \n\n\n \n Cabanac, G.; Frommholz, I.; and Mayr, P.\n\n\n \n\n\n\n Scientometrics, 125(3): 2835–2840. December 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ScholarlyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{cabanac_scholarly_2020,\n\ttitle = {Scholarly literature mining with information retrieval and natural language processing: {Preface}},\n\tvolume = {125},\n\tcopyright = {All rights reserved},\n\tissn = {0138-9130, 1588-2861},\n\tshorttitle = {Scholarly literature mining with information retrieval and natural language processing},\n\turl = {http://link.springer.com/10.1007/s11192-020-03763-4},\n\tdoi = {10.1007/s11192-020-03763-4},\n\tlanguage = {en},\n\tnumber = {3},\n\turldate = {2023-06-01},\n\tjournal = {Scientometrics},\n\tauthor = {Cabanac, Guillaume and Frommholz, Ingo and Mayr, Philipp},\n\tmonth = dec,\n\tyear = {2020},\n\tpages = {2835--2840},\n}\n\n
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\n \n\n \n \n \n \n \n \n Proceedings of the 10th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 42nd European Conference on Information Retrieval (ECIR 2020).\n \n \n \n \n\n\n \n Cabanac, G.; Frommholz, I.; and Mayr, P.\n\n\n \n\n\n\n CEUR-WS.org, Lisbon, Portugal, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ProceedingsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{Cabanac2020,\n\taddress = {Lisbon, Portugal},\n\ttitle = {Proceedings of the 10th {International} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} co-located with 42nd {European} {Conference} on {Information} {Retrieval} ({ECIR} 2020)},\n\tcopyright = {All rights reserved},\n\turl = {https://ceur-ws.org/Vol-2591/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Cabanac, Guillaume and Frommholz, Ingo and Mayr, Philipp},\n\teditor = {Cabanac, Guillaume and Frommholz, Ingo and Mayr, Philipp},\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach.\n \n \n \n\n\n \n Jaiswal, A. K.; Liu, H.; and Frommholz, I.\n\n\n \n\n\n\n In Frommholz, I.; Liu, H.; and Melucci, M., editor(s), Proceedings First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020), pages 16–29, 2020. CEUR-WS.org\n \n\n\n\n
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@inproceedings{Jaiswal2020,\n\ttitle = {Reinforcement {Learning}-driven {Information} {Seeking}: {A} {Quantum} {Probabilistic} {Approach}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings {First} {Workshop} on {Bridging} the {Gap} between {Information} {Science}, {Information} {Retrieval} and {Data} {Science} ({BIRDS} 2020)},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Jaiswal, Amit Kumar and Liu, Haiming and Frommholz, Ingo},\n\teditor = {Frommholz, Ingo and Liu, Haiming and Melucci, Massimo},\n\tyear = {2020},\n\tpages = {16--29},\n}\n\n
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\n \n\n \n \n \n \n \n \n Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020).\n \n \n \n \n\n\n \n Frommholz, I.; Liu, H.; and Melucci, M.\n\n\n \n\n\n\n CEUR-WS.org, 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ProceedingsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{Frommholz2020,\n\ttitle = {Proceedings of the {First} {Workshop} on {Bridging} the {Gap} between {Information} {Science}, {Information} {Retrieval} and {Data} {Science} ({BIRDS} 2020)},\n\tcopyright = {All rights reserved},\n\turl = {http://ceur-ws.org/Vol-2741/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Frommholz, Ingo and Liu, Haiming and Melucci, Massimo},\n\teditor = {Frommholz, Ingo and Liu, Haiming and Melucci, Massimo},\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n ECIR 2020 Workshops: Assessing the impact of going online.\n \n \n \n\n\n \n Nunes, S.; Little, S.; Bhatia, S.; Boratto, L.; Cabanac, G.; Campos, R.; Couto, F. M.; Faralli, S.; Frommholz, I.; Jatowt, A.; Jorge, A.; Marras, M.; Mayr, P.; and Stilo, G.\n\n\n \n\n\n\n SIGIR Forum, 54(1). 2020.\n arXiv: 2005.06748\n\n\n\n
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@article{Nunes2020,\n\ttitle = {{ECIR} 2020 {Workshops}: {Assessing} the impact of going online},\n\tvolume = {54},\n\tcopyright = {All rights reserved},\n\tnumber = {1},\n\tjournal = {SIGIR Forum},\n\tauthor = {Nunes, Sergio and Little, Suzanne and Bhatia, Sumit and Boratto, Ludovico and Cabanac, Guillaume and Campos, Ricardo and Couto, Francisco M. and Faralli, Stefano and Frommholz, Ingo and Jatowt, Adam and Jorge, Alpio and Marras, Mirko and Mayr, Philipp and Stilo, Giovanni},\n\tyear = {2020},\n\tnote = {arXiv: 2005.06748},\n}\n\n
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\n \n\n \n \n \n \n \n BIRDS-Bridging the Gap between Information Science, Information Retrieval and Data Science.\n \n \n \n\n\n \n Frommholz, I.; Liu, H.; and Melucci, M.\n\n\n \n\n\n\n In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 2455–2458, 2020. ACM\n \n\n\n\n
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@inproceedings{Frommholz2020,\n\ttitle = {{BIRDS}-{Bridging} the {Gap} between {Information} {Science}, {Information} {Retrieval} and {Data} {Science}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the 43rd {International} {ACM} {SIGIR} {Conference} on {Research} and {Development} in {Information} {Retrieval}},\n\tpublisher = {ACM},\n\tauthor = {Frommholz, Ingo and Liu, Haiming and Melucci, Massimo},\n\tyear = {2020},\n\tpages = {2455--2458},\n}\n\n
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\n \n\n \n \n \n \n \n Utilising Information Foraging Theory for User Interaction with Image Query Auto-Completion.\n \n \n \n\n\n \n Jaiswal, A. K.; Liu, H.; and Frommholz, I.\n\n\n \n\n\n\n In Proceedings European Conference on Information Retrieval (ECIR 2020), 2020. Springer\n \n\n\n\n
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@inproceedings{Jaiswal2020,\n\ttitle = {Utilising {Information} {Foraging} {Theory} for {User} {Interaction} with {Image} {Query} {Auto}-{Completion}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings {European} {Conference} on {Information} {Retrieval} ({ECIR} 2020)},\n\tpublisher = {Springer},\n\tauthor = {Jaiswal, Amit Kumar and Liu, Haiming and Frommholz, Ingo},\n\tyear = {2020},\n}\n\n
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\n \n\n \n \n \n \n \n Bibliometric-Enhanced Information Retrieval 10th Anniversary Workshop Edition.\n \n \n \n\n\n \n Cabanac, G.; Frommholz, I.; and Mayr, P.\n\n\n \n\n\n\n In Proceedings European Conference on Information Retrieval (ECIR 2020), pages 641–647, Lisbon, Portugal, 2020. \n \n\n\n\n
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@inproceedings{Cabanac2020,\n\taddress = {Lisbon, Portugal},\n\ttitle = {Bibliometric-{Enhanced} {Information} {Retrieval} 10th {Anniversary} {Workshop} {Edition}},\n\tcopyright = {All rights reserved},\n\tabstract = {The Bibliometric-enhanced Information Retrieval workshop series (BIR) was launched at ECIR in 2014 [19] and it was held at ECIR each year since then. This year we organize the 10th iteration of BIR. The workshop series at ECIR and JCDL/SIGIR tackles issues related to academic search, at the crossroads between Information Retrieval, Natural Language Processing and Bibliometrics. In this overview paper, we summarize the past workshops, present the workshop topics for 2020 and reflect on some future steps for this workshop series.},\n\tbooktitle = {Proceedings {European} {Conference} on {Information} {Retrieval} ({ECIR} 2020)},\n\tauthor = {Cabanac, Guillaume and Frommholz, Ingo and Mayr, Philipp},\n\tyear = {2020},\n\tpages = {641--647},\n}\n\n
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\n The Bibliometric-enhanced Information Retrieval workshop series (BIR) was launched at ECIR in 2014 [19] and it was held at ECIR each year since then. This year we organize the 10th iteration of BIR. The workshop series at ECIR and JCDL/SIGIR tackles issues related to academic search, at the crossroads between Information Retrieval, Natural Language Processing and Bibliometrics. In this overview paper, we summarize the past workshops, present the workshop topics for 2020 and reflect on some future steps for this workshop series.\n
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\n  \n 2019\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n \n Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation.\n \n \n \n \n\n\n \n Jaiswal, A. K.; Liu, H.; and Frommholz, I.\n\n\n \n\n\n\n In Proceedings of the 11th Forum for Information Retrieval Evaluation (FIRE 2019), pages 65–69, Kolkata, India, 2019. ACM\n \n\n\n\n
\n\n\n\n \n \n \"InformationPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{jaiswal_information_2019,\n\taddress = {Kolkata, India},\n\ttitle = {Information {Foraging} for {Enhancing} {Implicit} {Feedback} in {Content}-based {Image} {Recommendation}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-7750-8},\n\turl = {http://arxiv.org/abs/2001.06765},\n\tabstract = {User implicit feedback plays an important role in recommender systems. However, finding implicit features is a tedious task. This paper aims to identify users' preferences through implicit behavioural signals for image recommendation based on the Information Scent Model of Information Foraging Theory. In the first part, we hypothesise that the users' perception is improved with visual cues in the images as behavioural signals that provide users' information scent during information seeking. We designed a content-based image recommendation system to explore which image attributes (i.e., visual cues or bookmarks) help users find their desired image. We found that users prefer recommendations predicated by visual cues and therefore consider the visual cues as good information scent for their information seeking. In the second part, we investigated if visual cues in the images together with the images itself can be better perceived by the users than each of them on its own. We evaluated the information scent artifacts in image recommendation on the Pinterest image collection and the WikiArt dataset. We find our proposed image recommendation system supports the implicit signals through Information Foraging explanation of the information scent model.},\n\tbooktitle = {Proceedings of the 11th {Forum} for {Information} {Retrieval} {Evaluation} ({FIRE} 2019)},\n\tpublisher = {ACM},\n\tauthor = {Jaiswal, Amit Kumar and Liu, Haiming and Frommholz, Ingo},\n\tyear = {2019},\n\tpages = {65--69},\n}\n\n
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\n User implicit feedback plays an important role in recommender systems. However, finding implicit features is a tedious task. This paper aims to identify users' preferences through implicit behavioural signals for image recommendation based on the Information Scent Model of Information Foraging Theory. In the first part, we hypothesise that the users' perception is improved with visual cues in the images as behavioural signals that provide users' information scent during information seeking. We designed a content-based image recommendation system to explore which image attributes (i.e., visual cues or bookmarks) help users find their desired image. We found that users prefer recommendations predicated by visual cues and therefore consider the visual cues as good information scent for their information seeking. In the second part, we investigated if visual cues in the images together with the images itself can be better perceived by the users than each of them on its own. We evaluated the information scent artifacts in image recommendation on the Pinterest image collection and the WikiArt dataset. We find our proposed image recommendation system supports the implicit signals through Information Foraging explanation of the information scent model.\n
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\n \n\n \n \n \n \n \n \n Proceedings of the 9th PhD Symposium on Future Directions in Information Access co-located with 12th European Summer School in Information Retrieval (ESSIR 2019).\n \n \n \n \n\n\n \n Frommholz, I.; Liu, H.; and Moshfeghi, Y.\n\n\n \n\n\n\n CEUR-WS.org, Milan, Italy, 2019.\n \n\n\n\n
\n\n\n\n \n \n \"ProceedingsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{Frommholz2019,\n\taddress = {Milan, Italy},\n\ttitle = {Proceedings of the 9th {PhD} {Symposium} on {Future} {Directions} in {Information} {Access} co-located with 12th {European} {Summer} {School} in {Information} {Retrieval} ({ESSIR} 2019)},\n\tcopyright = {All rights reserved},\n\turl = {http://ceur-ws.org/Vol-2537/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Frommholz, Ingo and Liu, Haiming and Moshfeghi, Yashar},\n\teditor = {Frommholz, Ingo and Liu, Haiming and Moshfeghi, Yashar},\n\tyear = {2019},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Proceedings of the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR) co-located with the 41st European Conference on Information Retrieval (ECIR 2019).\n \n \n \n \n\n\n \n Cabanac, G.; Frommholz, I.; and Mayr, P.\n\n\n \n\n\n\n CEUR-WS.org, 2019.\n \n\n\n\n
\n\n\n\n \n \n \"ProceedingsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{Cabanac2019,\n\ttitle = {Proceedings of the 8th {International} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} ({BIR}) co-located with the 41st {European} {Conference} on {Information} {Retrieval} ({ECIR} 2019)},\n\tcopyright = {All rights reserved},\n\turl = {http://ceur-ws.org/Vol-2345/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Cabanac, Guillaume and Frommholz, Ingo and Mayr, Philipp},\n\teditor = {Cabanac, Guillaume and Frommholz, Ingo and Mayr, Philipp},\n\tyear = {2019},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n The 9th symposium on future directions in information access.\n \n \n \n\n\n \n Frommholz, I.; Liu, H.; and Moshfeghi, Y.\n\n\n \n\n\n\n In Frommholz, I.; Liu, H.; and Moshfeghi, Y., editor(s), Proceedings of the 9th PhD Symposium on Future Directions in Information Access co-located with 12th European Summer School in Information Retrieval (ESSIR 2019), pages 1–3, Milan, Italy, 2019. CEUR-WS.org\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Frommholz2019a,\n\taddress = {Milan, Italy},\n\ttitle = {The 9th symposium on future directions in information access},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the 9th {PhD} {Symposium} on {Future} {Directions} in {Information} {Access} co-located with 12th {European} {Summer} {School} in {Information} {Retrieval} ({ESSIR} 2019)},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Frommholz, Ingo and Liu, Haiming and Moshfeghi, Yashar},\n\teditor = {Frommholz, Ingo and Liu, Haiming and Moshfeghi, Yashar},\n\tyear = {2019},\n\tpages = {1--3},\n}\n\n
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\n \n\n \n \n \n \n \n Bibliometric-Enhanced Information Retrieval: 8th International BIR Workshop.\n \n \n \n\n\n \n Cabanac, G.; Frommholz, I.; and Mayr, P.\n\n\n \n\n\n\n In Proceedings European Conference on Information Retrieval (ECIR 2019), pages 394–399, Cologne, Germany, 2019. Springer\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Cabanac2019,\n\taddress = {Cologne, Germany},\n\ttitle = {Bibliometric-{Enhanced} {Information} {Retrieval}: 8th {International} {BIR} {Workshop}},\n\tcopyright = {All rights reserved},\n\tabstract = {The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR tackles issues related to academic search, at the crossroads between Information Retrieval and Bibliometrics. BIR is a hot topic investigated by both academia (e.g., ArnetMiner, CiteSeer, DocEar) and the industry (e.g., Google Scholar, Microsoft Academic Search, Semantic Scholar). An 8th iteration of the one-day BIR workshop was held at ECIR 2019.},\n\tbooktitle = {Proceedings {European} {Conference} on {Information} {Retrieval} ({ECIR} 2019)},\n\tpublisher = {Springer},\n\tauthor = {Cabanac, Guillaume and Frommholz, Ingo and Mayr, Philipp},\n\tyear = {2019},\n\tpages = {394--399},\n}\n\n
\n
\n\n\n
\n The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR tackles issues related to academic search, at the crossroads between Information Retrieval and Bibliometrics. BIR is a hot topic investigated by both academia (e.g., ArnetMiner, CiteSeer, DocEar) and the industry (e.g., Google Scholar, Microsoft Academic Search, Semantic Scholar). An 8th iteration of the one-day BIR workshop was held at ECIR 2019.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Effects of Foraging in Personalized Content-based Image Recommendation.\n \n \n \n \n\n\n \n Jaiswal, A. K.; Liu, H.; and Frommholz, I.\n\n\n \n\n\n\n In Proceedings of the 2nd International Workshop on ExplainAble Recommendation and Search (EARS 2019) at SIGIR 2019, 2019. \n arXiv: 1907.00483\n\n\n\n
\n\n\n\n \n \n \"EffectsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Jaiswal2019,\n\ttitle = {Effects of {Foraging} in {Personalized} {Content}-based {Image} {Recommendation}},\n\tcopyright = {All rights reserved},\n\turl = {http://arxiv.org/abs/1907.00483},\n\tabstract = {A major challenge of recommender systems is to help users locating interesting items. Personalized recommender systems have become very popular as they attempt to predetermine the needs of users and provide them with recommendations to personalize their navigation. However, few studies have addressed the question of what drives the users' attention to specific content within the collection and what influences the selection of interesting items. To this end, we employ the lens of Information Foraging Theory (IFT) to image recommendation to demonstrate how the user could utilize visual bookmarks to locate interesting images. We investigate a personalized content-based image recommendation system to understand what affects user attention by reinforcing visual attention cues based on IFT. We further find that visual bookmarks (cues) lead to a stronger scent of the recommended image collection. Our evaluation is based on the Pinterest image collection.},\n\tbooktitle = {Proceedings of the 2nd {International} {Workshop} on {ExplainAble} {Recommendation} and {Search} ({EARS} 2019) at {SIGIR} 2019},\n\tauthor = {Jaiswal, Amit Kumar and Liu, Haiming and Frommholz, Ingo},\n\tyear = {2019},\n\tnote = {arXiv: 1907.00483},\n}\n\n
\n
\n\n\n
\n A major challenge of recommender systems is to help users locating interesting items. Personalized recommender systems have become very popular as they attempt to predetermine the needs of users and provide them with recommendations to personalize their navigation. However, few studies have addressed the question of what drives the users' attention to specific content within the collection and what influences the selection of interesting items. To this end, we employ the lens of Information Foraging Theory (IFT) to image recommendation to demonstrate how the user could utilize visual bookmarks to locate interesting images. We investigate a personalized content-based image recommendation system to understand what affects user attention by reinforcing visual attention cues based on IFT. We further find that visual bookmarks (cues) lead to a stronger scent of the recommended image collection. Our evaluation is based on the Pinterest image collection.\n
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\n\n
\n
\n  \n 2018\n \n \n (4)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Proceedings of the Seventh Workshop on Bibliometric-enhanced Information Retrieval co-located with the 40th European Conference on Information Retrieval (ECIR 2018).\n \n \n \n \n\n\n \n Mayr, P.; Frommholz, I.; and Cabanac, G.\n\n\n \n\n\n\n CEUR-WS.org, Grenoble, France, 2018.\n \n\n\n\n
\n\n\n\n \n \n \"ProceedingsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{Mayr2018,\n\taddress = {Grenoble, France},\n\ttitle = {Proceedings of the {Seventh} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} co-located with the 40th {European} {Conference} on {Information} {Retrieval} ({ECIR} 2018)},\n\tcopyright = {All rights reserved},\n\turl = {https://ceur-ws.org/Vol-2080/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Mayr, Philipp and Frommholz, Ingo and Cabanac, Guillaume},\n\teditor = {Mayr, Philipp and Frommholz, Ingo and Cabanac, Guillaume},\n\tyear = {2018},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Report on the 7th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2018).\n \n \n \n\n\n \n Mayr, P.; Frommholz, I.; and Cabanac, G.\n\n\n \n\n\n\n SIGIR Forum, 52(1): 135–139. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{Mayr2018a,\n\ttitle = {Report on the 7th {International} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} ({BIR} 2018)},\n\tvolume = {52},\n\tcopyright = {All rights reserved},\n\tabstract = {The Bibliometric-enhanced Information Retrieval (BIR) workshop series has started at ECIR in 2014 and serves as the annual gathering of IR researchers who address various information-related tasks on scientific corpora and bibliometrics. We welcome contributions elaborating on dedicated IR systems, as well as studies revealing original characteristics on how scientific knowledge is created, communicated, and used. This report presents all accepted papers at the 7th BIR workshop at ECIR 2018 in Grenoble, France.},\n\tnumber = {1},\n\tjournal = {SIGIR Forum},\n\tauthor = {Mayr, Philipp and Frommholz, Ingo and Cabanac, Guillaume},\n\tyear = {2018},\n\tpages = {135--139},\n}\n\n
\n
\n\n\n
\n The Bibliometric-enhanced Information Retrieval (BIR) workshop series has started at ECIR in 2014 and serves as the annual gathering of IR researchers who address various information-related tasks on scientific corpora and bibliometrics. We welcome contributions elaborating on dedicated IR systems, as well as studies revealing original characteristics on how scientific knowledge is created, communicated, and used. This report presents all accepted papers at the 7th BIR workshop at ECIR 2018 in Grenoble, France.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Bibliometric-enhanced information retrieval: preface.\n \n \n \n \n\n\n \n Cabanac, G.; Frommholz, I.; and Mayr, P.\n\n\n \n\n\n\n Scientometrics, 116(2): 1225–1227. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"Bibliometric-enhancedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{Cabanac2018,\n\ttitle = {Bibliometric-enhanced information retrieval: preface},\n\tvolume = {116},\n\tcopyright = {All rights reserved},\n\turl = {https://link.springer.com/article/10.1007/s11192-018-2861-0},\n\tdoi = {https://doi.org/10.1007/s11192-018-2861-0},\n\tnumber = {2},\n\tjournal = {Scientometrics},\n\tauthor = {Cabanac, Guillaume and Frommholz, Ingo and Mayr, Philipp},\n\tyear = {2018},\n\tpages = {1225--1227},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Quantum-like Generalization of Complex Word Embedding: a lightweight approach for textual classification.\n \n \n \n\n\n \n Jaiswal, A. K.; Holdack, G.; Frommholz, I.; and Liu, H.\n\n\n \n\n\n\n In Proceedings Lernen Wissen Daten Analysen (LWDA 2018), 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Jaiswal2018,\n\ttitle = {Quantum-like {Generalization} of {Complex} {Word} {Embedding}: a lightweight approach for textual classification},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings {Lernen} {Wissen} {Daten} {Analysen} ({LWDA} 2018)},\n\tauthor = {Jaiswal, Amit Kumar and Holdack, Guilherme and Frommholz, Ingo and Liu, Haiming},\n\tyear = {2018},\n}\n\n
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\n  \n 2017\n \n \n (5)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n Aquacold - a crowdsourced query understanding and query construction tool for the linked data web.\n \n \n \n\n\n \n Collis, N.; and Frommholz, I.\n\n\n \n\n\n\n In Mayr, P.; Tudhope, D.; Golub, K.; Wartena, C.; and De Luca, E. W., editor(s), Proc. of the 17th European Networked Knowledge Organization Systems Workshop (NKOS 2017) at TPDL 2017, pages 74–86, Thessaloniki, Greece, 2017. CEUR-WS.org\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Collis2017,\n\taddress = {Thessaloniki, Greece},\n\ttitle = {Aquacold - a crowdsourced query understanding and query construction tool for the linked data web},\n\tcopyright = {All rights reserved},\n\tabstract = {The Linked Data Web promises a disseminated, dynamic, ever expanding knowledge base where relationships between content and entities can be expressed and queried using formal logic rules. The data formats and exchange protocols that comprise the Linked DataWeb have existed for over 15 years and grown to incorporate over 149 billion triples but there is no established ‘mainstream’ system that allows regular non-technical users to query the linked data web using natural language. In this paper we introduce Aquacold (Aggregated Query Understanding And Construction Over Linked Data), a novel Linked Data query tool designed to fill this gap. Aquacold combines a simple browsing interface for exploring, filtering and sorting linked data with query labelling which allows the user to store a natural language representation of the underlying SPARQL query. A search interface allows users to write guided natural language queries, which are converted into SPARQL queries to retrieve results from the linked data source. A set of voting tools are presented for each query and associated result set to surface the most accurate templates and relegate those that are less accurate. This crowdsourced approach for labelling, saving and voting on linked data query templates enables regular, non-technical users to make complex natural lan- guage queries over the linked data web without having to use a structured language such as SPARQL. In this paper we provide an overview of the system and discuss an early prototype.},\n\tbooktitle = {Proc. of the 17th {European} {Networked} {Knowledge} {Organization} {Systems} {Workshop} ({NKOS} 2017) at {TPDL} 2017},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Collis, Nicholas and Frommholz, Ingo},\n\teditor = {Mayr, Philipp and Tudhope, Douglas and Golub, Koraljka and Wartena, Christian and De Luca, Ernesto William},\n\tyear = {2017},\n\tpages = {74--86},\n}\n\n
\n
\n\n\n
\n The Linked Data Web promises a disseminated, dynamic, ever expanding knowledge base where relationships between content and entities can be expressed and queried using formal logic rules. The data formats and exchange protocols that comprise the Linked DataWeb have existed for over 15 years and grown to incorporate over 149 billion triples but there is no established ‘mainstream’ system that allows regular non-technical users to query the linked data web using natural language. In this paper we introduce Aquacold (Aggregated Query Understanding And Construction Over Linked Data), a novel Linked Data query tool designed to fill this gap. Aquacold combines a simple browsing interface for exploring, filtering and sorting linked data with query labelling which allows the user to store a natural language representation of the underlying SPARQL query. A search interface allows users to write guided natural language queries, which are converted into SPARQL queries to retrieve results from the linked data source. A set of voting tools are presented for each query and associated result set to surface the most accurate templates and relegate those that are less accurate. This crowdsourced approach for labelling, saving and voting on linked data query templates enables regular, non-technical users to make complex natural lan- guage queries over the linked data web without having to use a structured language such as SPARQL. In this paper we provide an overview of the system and discuss an early prototype.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Proceedings of the Fifth Workshop on Bibliometric-enhanced Information Retrieval co-located with the 39th European Conference on Information Retrieval (ECIR 2017).\n \n \n \n \n\n\n \n Mayr, P.; Frommholz, I.; and Cabanac, G.\n\n\n \n\n\n\n CEUR-WS.org, Aberdeen, Scotland, 2017.\n \n\n\n\n
\n\n\n\n \n \n \"ProceedingsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{Mayr2017,\n\taddress = {Aberdeen, Scotland},\n\ttitle = {Proceedings of the {Fifth} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} co-located with the 39th {European} {Conference} on {Information} {Retrieval} ({ECIR} 2017)},\n\tcopyright = {All rights reserved},\n\turl = {http://ceur-ws.org/Vol-1823/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Mayr, Philipp and Frommholz, Ingo and Cabanac, Guillaume},\n\teditor = {Mayr, Philipp and Frommholz, Ingo and Cabanac, Guillaume},\n\tyear = {2017},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Introduction to the special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL).\n \n \n \n \n\n\n \n Mayr, P.; Frommholz, I.; Cabanac, G.; Chandrasekaran, M. K.; Jaidka, K.; Kan, M.; and Wolfram, D.\n\n\n \n\n\n\n International Journal on Digital Libraries, 19(2): 1–5. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"IntroductionPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{Mayr2017a,\n\ttitle = {Introduction to the special issue on bibliometric-enhanced information retrieval and natural language processing for digital libraries ({BIRNDL})},\n\tvolume = {19},\n\tcopyright = {All rights reserved},\n\turl = {https://link.springer.com/article/10.1007/s00799-017-0230-x},\n\tnumber = {2},\n\tjournal = {International Journal on Digital Libraries},\n\tauthor = {Mayr, Philipp and Frommholz, Ingo and Cabanac, Guillaume and Chandrasekaran, Muthu Kumar and Jaidka, Kokil and Kan, Min-Yen and Wolfram, Dietmar},\n\tyear = {2017},\n\tpages = {1--5},\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Report on the 5th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2017).\n \n \n \n\n\n \n Mayr, P.; Frommholz, I.; and Cabanac, G.\n\n\n \n\n\n\n SIGIR Forum, 51(1): 29–35. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{Mayr2017b,\n\ttitle = {Report on the 5th {International} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} ({BIR} 2017)},\n\tvolume = {51},\n\tcopyright = {All rights reserved},\n\tabstract = {This workshop report presents the output of the fifth Bibliometric-enhanced Information Retrieval (BIR) workshop, which has been co-located with the 39th European Conference on Information Retrieval (ECIR 2017) in Aberdeen, UK. We motivate our workshop and outline the papers (one keynote, six regular papers and five poster papers) presented at BIR 2017. Finally, we conclude with an outlook and future directions of this workshop activity.},\n\tnumber = {1},\n\tjournal = {SIGIR Forum},\n\tauthor = {Mayr, Philipp and Frommholz, Ingo and Cabanac, Guillaume},\n\tyear = {2017},\n\tpages = {29--35},\n}\n\n
\n
\n\n\n
\n This workshop report presents the output of the fifth Bibliometric-enhanced Information Retrieval (BIR) workshop, which has been co-located with the 39th European Conference on Information Retrieval (ECIR 2017) in Aberdeen, UK. We motivate our workshop and outline the papers (one keynote, six regular papers and five poster papers) presented at BIR 2017. Finally, we conclude with an outlook and future directions of this workshop activity.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Classification of Colloquial Arabic Tweets in real-time to detect high-risk floods.\n \n \n \n\n\n \n Alabbas, W.; Al-Khateeb, H.; Mansour, A.; Epiphaniou, G.; and Frommholz, I.\n\n\n \n\n\n\n In Proceedings International Conference on Social Media, Wearable and Web Analytics (Social Media 2017), 2017. IEEE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Alabbas2017,\n\ttitle = {Classification of {Colloquial} {Arabic} {Tweets} in real-time to detect high-risk floods},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings {International} {Conference} on {Social} {Media}, {Wearable} and {Web} {Analytics} ({Social} {Media} 2017)},\n\tpublisher = {IEEE},\n\tauthor = {Alabbas, Waleed and Al-Khateeb, Haider and Mansour, Ali and Epiphaniou, Gregory and Frommholz, Ingo},\n\tyear = {2017},\n}\n\n
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\n  \n 2016\n \n \n (10)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n \n Joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL 2016).\n \n \n \n \n\n\n \n Cabanac, G.; Chandrasekaran, M. K.; Frommholz, I.; Jaidka, K.; Kan, M.; Mayr, P.; and Wolfram, D.\n\n\n \n\n\n\n In 2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL), pages 299–300, June 2016. \n \n\n\n\n
\n\n\n\n \n \n \"JointPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{cabanac_joint_2016,\n\ttitle = {Joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital libraries ({BIRNDL} 2016)},\n\tcopyright = {All rights reserved},\n\turl = {https://ieeexplore.ieee.org/document/7559632},\n\tabstract = {The large scale of scholarly publications poses a challenge for scholars in information-seeking and sensemaking. Bibliometric, information retrieval (IR), text mining and NLP techniques could help in these activities, but are not yet widely used in digital libraries. This workshop is intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric and recommendation techniques which can advance the state-of-the-art in scholarly document understanding, analysis and retrieval at scale.},\n\turldate = {2024-01-06},\n\tbooktitle = {2016 {IEEE}/{ACM} {Joint} {Conference} on {Digital} {Libraries} ({JCDL})},\n\tauthor = {Cabanac, Guillaume and Chandrasekaran, Muthu Kumar and Frommholz, Ingo and Jaidka, Kokil and Kan, Min-Yen and Mayr, Philipp and Wolfram, Dietmar},\n\tmonth = jun,\n\tyear = {2016},\n\tpages = {299--300},\n}\n\n
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\n The large scale of scholarly publications poses a challenge for scholars in information-seeking and sensemaking. Bibliometric, information retrieval (IR), text mining and NLP techniques could help in these activities, but are not yet widely used in digital libraries. This workshop is intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric and recommendation techniques which can advance the state-of-the-art in scholarly document understanding, analysis and retrieval at scale.\n
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\n \n\n \n \n \n \n \n A Study of Challenges and Obstacles in Biomedical Data Search.\n \n \n \n\n\n \n Abomelha, F.; Frommholz, I.; and Sant, P.\n\n\n \n\n\n\n In Proceedings Medical Information Retrieval (MedIR) Workshop at SIGIR 2016, Pisa, Italy, 2016. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Abomelha2016,\n\taddress = {Pisa, Italy},\n\ttitle = {A {Study} of {Challenges} and {Obstacles} in {Biomedical} {Data} {Search}},\n\tcopyright = {All rights reserved},\n\tisbn = {1-234-56724-5},\n\tdoi = {10.475/123},\n\tbooktitle = {Proceedings {Medical} {Information} {Retrieval} ({MedIR}) {Workshop} at {SIGIR} 2016},\n\tauthor = {Abomelha, Faris and Frommholz, Ingo and Sant, Paul},\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n \n Report on the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2016).\n \n \n \n \n\n\n \n Cabanac, G.; Chandrasekaran, M. K.; Frommholz, I.; Jaidka, K.; Kan, M.; Mayr, P.; and Wolfram, D.\n\n\n \n\n\n\n SIGIR Forum, 50(2): 36–43. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"ReportPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{Cabanac2016a,\n\ttitle = {Report on the {Joint} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} and {Natural} {Language} {Processing} for {Digital} {Libraries} ({BIRNDL} 2016)},\n\tvolume = {50},\n\tcopyright = {All rights reserved},\n\turl = {https://dl.acm.org/citation.cfm?id=3053417},\n\tabstract = {The large scale of scholarly publications poses a challenge for scholars in information seeking and sensemaking. Bibliometric, information retrieval (IR), text mining, and NLP techniques could help in these activities, but are not yet widely used in digital libraries. The BIRNDL workshop was held at the Joint Conference on Digital Libraries (JCDL 2016) in Newark, NJ. It intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric, and recommendation techniques that can advance the state-of-the-art in scholarly document understanding, analysis, and retrieval at scale. The workshop incorporated three paper sessions and the 2nd edition of the CL-SciSumm Shared Task.},\n\tnumber = {2},\n\tjournal = {SIGIR Forum},\n\tauthor = {Cabanac, Guillaume and Chandrasekaran, Muthu Kumar and Frommholz, Ingo and Jaidka, Kokil and Kan, Min-Yen and Mayr, Philipp and Wolfram, Dietmar},\n\tyear = {2016},\n\tpages = {36--43},\n}\n\n
\n
\n\n\n
\n The large scale of scholarly publications poses a challenge for scholars in information seeking and sensemaking. Bibliometric, information retrieval (IR), text mining, and NLP techniques could help in these activities, but are not yet widely used in digital libraries. The BIRNDL workshop was held at the Joint Conference on Digital Libraries (JCDL 2016) in Newark, NJ. It intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric, and recommendation techniques that can advance the state-of-the-art in scholarly document understanding, analysis, and retrieval at scale. The workshop incorporated three paper sessions and the 2nd edition of the CL-SciSumm Shared Task.\n
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\n \n\n \n \n \n \n \n \n Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL) co-located with the Joint Conference on Digital Libraries 2016 (JCDL 2016).\n \n \n \n \n\n\n \n Chandrasekaran, M. K.; Frommholz, I.; Jaidka, K.; Kan, M.; Mayr, P.; and Wolfram, D.\n\n\n \n\n\n\n CEUR-WS.org, Newark, NJ, USA, 2016.\n \n\n\n\n
\n\n\n\n \n \n \"ProceedingsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{Cabanac2016,\n\taddress = {Newark, NJ, USA},\n\ttitle = {Proceedings of the {Joint} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} and {Natural} {Language} {Processing} for {Digital} {Libraries} ({BIRNDL}) co-located with the {Joint} {Conference} on {Digital} {Libraries} 2016 ({JCDL} 2016)},\n\tcopyright = {All rights reserved},\n\turl = {http://ceur-ws.org/Vol-1610/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Chandrasekaran, Muthu Kumar and Frommholz, Ingo and Jaidka, Kokil and Kan, Min-Yen and Mayr, Philipp and Wolfram, Dietmar},\n\teditor = {Cabanac, Guillaume and Chandrasekaran, Muthu Kumar and Frommholz, Ingo and Jaidka, Kokil and Kan, Min-Yen and Mayr, Philipp and Wolfram, Dietmar},\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n \n Proceedings of the Third Workshop on Bibliometric-enhanced Information Retrieval co-located with the 38th European Conference on Information Retrieval (ECIR 2016).\n \n \n \n \n\n\n \n Mayr, P.; Frommholz, I.; and Cabanac, G.\n\n\n \n\n\n\n CEUR-WS.org, Padua, Italy, 2016.\n \n\n\n\n
\n\n\n\n \n \n \"ProceedingsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{Mayr2016,\n\taddress = {Padua, Italy},\n\ttitle = {Proceedings of the {Third} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} co-located with the 38th {European} {Conference} on {Information} {Retrieval} ({ECIR} 2016)},\n\tcopyright = {All rights reserved},\n\turl = {http://ceur-ws.org/Vol-1567/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Mayr, Philipp and Frommholz, Ingo and Cabanac, Guillaume},\n\teditor = {Mayr, Philipp and Frommholz, Ingo and Cabanac, Guillaume},\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Bibliometric-enhanced information retrieval: 3rd international BIR workshop.\n \n \n \n\n\n \n Mayr, P.; Frommholz, I.; and Cabanac, G.\n\n\n \n\n\n\n In Proceedings ECIR 2016, volume 9626, pages 865–868, 2016. \n ISSN: 16113349 03029743\n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Mayr2016a,\n\ttitle = {Bibliometric-enhanced information retrieval: 3rd international {BIR} workshop},\n\tvolume = {9626},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-319-30670-4},\n\tdoi = {10.1007/978-3-319-30671-1_82},\n\tabstract = {© Springer International Publishing Switzerland 2016. The BIR workshop brings together experts in Bibliometrics and Information Retrieval. While sometimes perceived as rather loosely related, these research areas share various interests and face similar challenges. Our motivation as organizers of the BIR workshop stemmed from a twofold observation. First, both communities only partly overlap, albeit sharing various interests. Second, it will be profitable for both sides to tackle some of the emerging problems that scholars face today when they have to identify relevant and high quality literature in the fast growing number of electronic publications available worldwide. Bibliometric techniques are not yet used widely to enhance retrieval processes in digital libraries, although they offer value-added effects for users. Information professionals working in libraries and archives, however, are increasingly confronted with applying bibliometric techniques in their services. The first BIR workshop in 2014 set the research agenda by introducing each group to the other, illustrating state-of-the-art methods, reporting on current research problems, and brainstorming about common interests. The second workshop in 2015 further elaborated these themes. This third BIR workshop aims to foster a common ground for the incorporation of bibliometric-enhanced services into scholarly search engine interfaces. In particular we will address specific communities, as well as studies on large, cross-domain collections like Mendeley and Research‐ Gate. This third BIR workshop addresses explicitly both scholarly and industrial researchers.},\n\tbooktitle = {Proceedings {ECIR} 2016},\n\tauthor = {Mayr, P. and Frommholz, I. and Cabanac, G.},\n\tyear = {2016},\n\tnote = {ISSN: 16113349 03029743},\n\tpages = {865--868},\n}\n\n
\n
\n\n\n
\n © Springer International Publishing Switzerland 2016. The BIR workshop brings together experts in Bibliometrics and Information Retrieval. While sometimes perceived as rather loosely related, these research areas share various interests and face similar challenges. Our motivation as organizers of the BIR workshop stemmed from a twofold observation. First, both communities only partly overlap, albeit sharing various interests. Second, it will be profitable for both sides to tackle some of the emerging problems that scholars face today when they have to identify relevant and high quality literature in the fast growing number of electronic publications available worldwide. Bibliometric techniques are not yet used widely to enhance retrieval processes in digital libraries, although they offer value-added effects for users. Information professionals working in libraries and archives, however, are increasingly confronted with applying bibliometric techniques in their services. The first BIR workshop in 2014 set the research agenda by introducing each group to the other, illustrating state-of-the-art methods, reporting on current research problems, and brainstorming about common interests. The second workshop in 2015 further elaborated these themes. This third BIR workshop aims to foster a common ground for the incorporation of bibliometric-enhanced services into scholarly search engine interfaces. In particular we will address specific communities, as well as studies on large, cross-domain collections like Mendeley and Research‐ Gate. This third BIR workshop addresses explicitly both scholarly and industrial researchers.\n
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\n \n\n \n \n \n \n \n Scalable DB+IR Technology: Processing Probabilistic Datalog with HySpirit.\n \n \n \n\n\n \n Frommholz, I.; and Roelleke, T.\n\n\n \n\n\n\n Datenbank-Spektrum, 16(1): 39–48. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{Frommholz2016,\n\ttitle = {Scalable {DB}+{IR} {Technology}: {Processing} {Probabilistic} {Datalog} with {HySpirit}},\n\tvolume = {16},\n\tcopyright = {All rights reserved},\n\tabstract = {Probabilistic Datalog (PDatalog, proposed in 1995) is a probabilistic variant of Datalog and a nice conceptual idea to model Information Retrieval in a log- ical, rule-based programming paradigm. Making PDat- alog work in real-world applications requires more than probabilistic facts and rules, and the semantics associ- ated with the evaluation of the programs. We report in this paper some of the key features of the HySpirit system required to scale the execution of PDatalog pro- grams. Firstly, there is the requirement to express probabil- ity estimation in PDatalog. Secondly, fuzzy-like predi- cates are required to model vague predicates (e.g. vague match of attributes such as age or price). Thirdly, to handle large data sets there are scalability issues to be addressed, and therefore, HySpirit provides probabilis- tic relational indexes and parallel and distributed pro- cessing. The main contribution of this paper is a con- solidated view on the methods of the HySpirit system to make PDatalog applicable in real-scale applications that involve a wide range of requirements typical for data (information) management and analysis.},\n\tnumber = {1},\n\tjournal = {Datenbank-Spektrum},\n\tauthor = {Frommholz, Ingo and Roelleke, Thomas},\n\tyear = {2016},\n\tpages = {39--48},\n}\n\n
\n
\n\n\n
\n Probabilistic Datalog (PDatalog, proposed in 1995) is a probabilistic variant of Datalog and a nice conceptual idea to model Information Retrieval in a log- ical, rule-based programming paradigm. Making PDat- alog work in real-world applications requires more than probabilistic facts and rules, and the semantics associ- ated with the evaluation of the programs. We report in this paper some of the key features of the HySpirit system required to scale the execution of PDatalog pro- grams. Firstly, there is the requirement to express probabil- ity estimation in PDatalog. Secondly, fuzzy-like predi- cates are required to model vague predicates (e.g. vague match of attributes such as age or price). Thirdly, to handle large data sets there are scalability issues to be addressed, and therefore, HySpirit provides probabilis- tic relational indexes and parallel and distributed pro- cessing. The main contribution of this paper is a con- solidated view on the methods of the HySpirit system to make PDatalog applicable in real-scale applications that involve a wide range of requirements typical for data (information) management and analysis.\n
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\n \n\n \n \n \n \n \n On Textual Analysis and Machine Learning for Cyberstalking Detection.\n \n \n \n\n\n \n Frommholz, I.; Al-Khateeb, H.; Potthast, M.; Ghasem, Z.; Shukla, M.; and Short, E.\n\n\n \n\n\n\n Datenbank-Spektrum, 16(2): 127–135. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{Frommholz2016,\n\ttitle = {On {Textual} {Analysis} and {Machine} {Learning} for {Cyberstalking} {Detection}},\n\tvolume = {16},\n\tcopyright = {All rights reserved},\n\tabstract = {Cyber security has become a major concern for users and businesses alike. Cyberstalking and harassment have been identified as a growing anti-social problem. Besides detecting cyberstalking and harassment, there is the need to gather digital evidence, often by the victim. To this end, we provide an overview of and discuss relevant technological means, in particular coming from text analytics as well as machine learning, that are capable to address the above challenges. We present a framework for the detection of text-based cyberstalking and the role and challenges of some core techniques such as author identification, text classification and personalisation. We then discuss PAN, a network and evaluation initiative that focusses on digital text forensics, in particular author identification.},\n\tnumber = {2},\n\tjournal = {Datenbank-Spektrum},\n\tauthor = {Frommholz, Ingo and Al-Khateeb, Haider and Potthast, Martin and Ghasem, Zinnar and Shukla, Mitul and Short, Emma},\n\tyear = {2016},\n\tpages = {127--135},\n}\n\n
\n
\n\n\n
\n Cyber security has become a major concern for users and businesses alike. Cyberstalking and harassment have been identified as a growing anti-social problem. Besides detecting cyberstalking and harassment, there is the need to gather digital evidence, often by the victim. To this end, we provide an overview of and discuss relevant technological means, in particular coming from text analytics as well as machine learning, that are capable to address the above challenges. We present a framework for the detection of text-based cyberstalking and the role and challenges of some core techniques such as author identification, text classification and personalisation. We then discuss PAN, a network and evaluation initiative that focusses on digital text forensics, in particular author identification.\n
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\n \n\n \n \n \n \n \n Comparing contextual and non-contextual features in ANNs for movie rating prediction.\n \n \n \n\n\n \n Mustafa, G.; and Frommholz, I.\n\n\n \n\n\n\n In Krestel, R.; Mottin, D.; and Müller, E., editor(s), Proceedings of the Conference \"Lernen, Wissen, Daten, Analysen\", Workshop Information Retrieval, Potsdam, Germany, 2016. CEUR-WS.org\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Mustafa2016,\n\taddress = {Potsdam, Germany},\n\ttitle = {Comparing contextual and non-contextual features in {ANNs} for movie rating prediction},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the {Conference} "{Lernen}, {Wissen}, {Daten}, {Analysen}", {Workshop} {Information} {Retrieval}},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Mustafa, Ghulam and Frommholz, Ingo},\n\teditor = {Krestel, Ralf and Mottin, Davide and Müller, Emmanuel},\n\tyear = {2016},\n}\n\n
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\n \n\n \n \n \n \n \n Editorial for the 3rd Bibliometric-Enhanced Information Retrieval Workshop at ECIR 2016.\n \n \n \n\n\n \n Mayr, P.; Frommholz, I.; and Cabanac, G.\n\n\n \n\n\n\n In Proceedings BIR 2016 Workshop on Bibliometric-enhanced Information Retrieval, pages 1–4, 2016. CEUR-WS.org\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Mayr2016,\n\ttitle = {Editorial for the 3rd {Bibliometric}-{Enhanced} {Information} {Retrieval} {Workshop} at {ECIR} 2016},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings {BIR} 2016 {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval}},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Mayr, Philipp and Frommholz, Ingo and Cabanac, Guillaume},\n\tyear = {2016},\n\tpages = {1--4},\n}\n\n
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\n  \n 2015\n \n \n (10)\n \n \n
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\n \n\n \n \n \n \n \n \n Machine Learning Solutions for controlling Cyberbullying and Cyberstalking.\n \n \n \n \n\n\n \n Ghasem, Z.; Frommholz, I.; and Maple, C.\n\n\n \n\n\n\n Journal of Information Security Research, 6(2): 55–64. 2015.\n \n\n\n\n
\n\n\n\n \n \n \"MachinePaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Ghasem2015,\n\ttitle = {Machine {Learning} {Solutions} for controlling {Cyberbullying} and {Cyberstalking}},\n\tvolume = {6},\n\tcopyright = {All rights reserved},\n\turl = {https://www.dline.info/jisr/fulltext/v6n2/v6n2_3.pdf},\n\tnumber = {2},\n\tjournal = {Journal of Information Security Research},\n\tauthor = {Ghasem, Zinnar and Frommholz, Ingo and Maple, Carsten},\n\tyear = {2015},\n\tpages = {55--64},\n}\n\n
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\n \n\n \n \n \n \n \n Cluster-based Polyrepresentation as Science Modelling Approach for Information Retrieval.\n \n \n \n\n\n \n Abbasi, M. K.; and Frommholz, I.\n\n\n \n\n\n\n Scientometrics, 102(3): 2301–2322. 2015.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{Abbasi/Frommholz:2014,\n\ttitle = {Cluster-based {Polyrepresentation} as {Science} {Modelling} {Approach} for {Information} {Retrieval}},\n\tvolume = {102},\n\tcopyright = {All rights reserved},\n\tdoi = {10.1007/s11192-014-1478-1},\n\tabstract = {The increasing number of publications make searching and accessing the produced literature a challenging task. A recent development in bibliographic databases is to use advanced information retrieval techniques in combination with bibliographic means like citations. In this work we will present an approach that combines a cognitive information retrieval framework based on the principle of polyrepresentation with document clustering to enable the user to explore a collection more interactively than by just examining a ranked result list. Our approach uses information need representations as well as different document representations including citations. To evaluate our ideas we employ a simulated user strategy utilising a cluster ranking approach. We report on the possible effectiveness of our approach and on several strategies how users can achieve a higher search effectiveness through cluster browsing. Our results confirm that our proposed polyrepresentative cluster browsing strategy can in principle significantly improve the search effectiveness. However, further evaluations including a more refined user simulation are needed.},\n\tnumber = {3},\n\tjournal = {Scientometrics},\n\tauthor = {Abbasi, Muhammad Kamran and Frommholz, Ingo},\n\tyear = {2015},\n\tpages = {2301--2322},\n}\n\n
\n
\n\n\n
\n The increasing number of publications make searching and accessing the produced literature a challenging task. A recent development in bibliographic databases is to use advanced information retrieval techniques in combination with bibliographic means like citations. In this work we will present an approach that combines a cognitive information retrieval framework based on the principle of polyrepresentation with document clustering to enable the user to explore a collection more interactively than by just examining a ranked result list. Our approach uses information need representations as well as different document representations including citations. To evaluate our ideas we employ a simulated user strategy utilising a cluster ranking approach. We report on the possible effectiveness of our approach and on several strategies how users can achieve a higher search effectiveness through cluster browsing. Our results confirm that our proposed polyrepresentative cluster browsing strategy can in principle significantly improve the search effectiveness. However, further evaluations including a more refined user simulation are needed.\n
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\n \n\n \n \n \n \n \n \n Proceedings of the Second Workshop on Bibliometric-enhanced Information Retrieval co-located with the 37th European Conference on Information Retrieval (ECIR 2015).\n \n \n \n \n\n\n \n Mayr, P.; Frommholz, I.; and Mutschke, P.\n\n\n \n\n\n\n CEUR-WS.org, 2015.\n \n\n\n\n
\n\n\n\n \n \n \"ProceedingsPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@book{Mayr2015,\n\ttitle = {Proceedings of the {Second} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} co-located with the 37th {European} {Conference} on {Information} {Retrieval} ({ECIR} 2015)},\n\tcopyright = {All rights reserved},\n\turl = {http://ceur-ws.org/Vol-1344/},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Mayr, Philipp and Frommholz, Ingo and Mutschke, Peter},\n\teditor = {Mayr, Philipp and Frommholz, Ingo and Mutschke, Peter{\\textbackslash}},\n\tyear = {2015},\n}\n\n
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\n \n\n \n \n \n \n \n Erratum to: Cluster-based polyrepresentation as science modelling approach for information retrieval [Scientometrics, DOI:10.1007/s11192-014-1478-1].\n \n \n \n\n\n \n Abbasi, M.; and Frommholz, I.\n\n\n \n\n\n\n Scientometrics, 103(3): 1151–1152. 2015.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Abbasi2015a,\n\ttitle = {Erratum to: {Cluster}-based polyrepresentation as science modelling approach for information retrieval [{Scientometrics}, {DOI}:10.1007/s11192-014-1478-1]},\n\tvolume = {103},\n\tcopyright = {All rights reserved},\n\tissn = {01389130},\n\tdoi = {10.1007/s11192-015-1590-x},\n\tnumber = {3},\n\tjournal = {Scientometrics},\n\tauthor = {Abbasi, M.K. and Frommholz, I.},\n\tyear = {2015},\n\tpages = {1151--1152},\n}\n\n
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\n \n\n \n \n \n \n \n \n Performance Comparison of Top N Recommendation Algorithms.\n \n \n \n \n\n\n \n Mustafa, G.; and Frommholz, I.\n\n\n \n\n\n\n In The Fourth International Conference on Future Generation Communication Technologies (FGCT 2015), pages 100–105, Luton, UK, 2015. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"PerformancePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Mustafa2015,\n\taddress = {Luton, UK},\n\ttitle = {Performance {Comparison} of {Top} {N} {Recommendation} {Algorithms}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4799-8267-7},\n\turl = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7300256&filter=AND(p_Publication_Number:7275106)},\n\tdoi = {10.1109/FGCT.2015.7300256},\n\tbooktitle = {The {Fourth} {International} {Conference} on {Future} {Generation} {Communication} {Technologies} ({FGCT} 2015)},\n\tpublisher = {IEEE},\n\tauthor = {Mustafa, Ghulam and Frommholz, Ingo},\n\tyear = {2015},\n\tpages = {100--105},\n}\n\n
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\n \n\n \n \n \n \n \n \n A Hybrid Approach to Combat Email-based Cyberstalking.\n \n \n \n \n\n\n \n Ghasem, Z.; Frommholz, I.; and Maple, C.\n\n\n \n\n\n\n In The Fourth International Conference on Future Generation Communication Technologies (FGCT 2015), pages 106–111, Luton, UK, 2015. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Ghasem2015a,\n\taddress = {Luton, UK},\n\ttitle = {A {Hybrid} {Approach} to {Combat} {Email}-based {Cyberstalking}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4799-8267-7},\n\turl = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7300257&tag=1},\n\tbooktitle = {The {Fourth} {International} {Conference} on {Future} {Generation} {Communication} {Technologies} ({FGCT} 2015)},\n\tpublisher = {IEEE},\n\tauthor = {Ghasem, Zinnar and Frommholz, Ingo and Maple, Carsten},\n\tyear = {2015},\n\tpages = {106--111},\n}\n\n
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\n \n\n \n \n \n \n \n A New Approach For Selecting Informative Features For Text Classification.\n \n \n \n\n\n \n Ghasem, Z.; Frommholz, I.; and Maple, C.\n\n\n \n\n\n\n In Klas, C.; and Frommholz, I., editor(s), Proceedings Information Retrieval Workshop at Lernen-Wissen-Adaptivität (LWA 2015), pages 382–389, Trier, Germany, 2015. CEUR-WS.org\n Issue: October\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Ghasem2015,\n\taddress = {Trier, Germany},\n\ttitle = {A {New} {Approach} {For} {Selecting} {Informative} {Features} {For} {Text} {Classification}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings {Information} {Retrieval} {Workshop} at {Lernen}-{Wissen}-{Adaptivität} ({LWA} 2015)},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Ghasem, Zinnar and Frommholz, Ingo and Maple, Carsten},\n\teditor = {Klas, Claus-Peter and Frommholz, Ingo},\n\tyear = {2015},\n\tnote = {Issue: October},\n\tpages = {382--389},\n}\n\n
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\n \n\n \n \n \n \n \n A Machine Learning Framework to Detect And Document Text-based Cyberstalking.\n \n \n \n\n\n \n Ghasem, Z.; Frommholz, I.; and Maple, C.\n\n\n \n\n\n\n In Klas, C.; and Frommholz, I., editor(s), Proceedings Information Retrieval Workshop at Lernen-Wissen-Adaptivität (LWA 2015), pages 348–355, Trier, Germany, 2015. CEUR-WS.org\n Issue: October\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Ghasem2015b,\n\taddress = {Trier, Germany},\n\ttitle = {A {Machine} {Learning} {Framework} to {Detect} {And} {Document} {Text}-based {Cyberstalking}},\n\tcopyright = {All rights reserved},\n\tabstract = {Cyberstalking is becoming a social and international problem, where cyberstalkers utilise the Internet to target individuals and disguise themselves without fear of any consequences. Several technologies, methods, and techniques are used by perpetrators to terrorise victims. While spam email filtering systems have been effective by applying various statistical and machine learning algorithms, utilising text catego- rization and filtering to detect text- and email-based cyberstalking is an interesting new application. There is also the need to gather evidence by the victim. To this end we discuss a framework to detect cyberstalking in messages; short message service, multimedia messaging service, chat, instance messaging and emails, and as well as to support documenting evidence. Our framework consists of five main modules: a detection module which detects cyberstalking using message categorisation; an attacker identification module based on cyberstalkers’ previous messages history, personalisation module, aggregator module and messages and evidence collection module. We discuss our ongoing work and how different text categorization and machine learning approaches can be applied to identify cyberstalkers.},\n\tbooktitle = {Proceedings {Information} {Retrieval} {Workshop} at {Lernen}-{Wissen}-{Adaptivität} ({LWA} 2015)},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Ghasem, Zinnar and Frommholz, Ingo and Maple, Carsten},\n\teditor = {Klas, Claus-Peter and Frommholz, Ingo},\n\tyear = {2015},\n\tnote = {Issue: October},\n\tpages = {348--355},\n}\n\n
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\n\n\n
\n Cyberstalking is becoming a social and international problem, where cyberstalkers utilise the Internet to target individuals and disguise themselves without fear of any consequences. Several technologies, methods, and techniques are used by perpetrators to terrorise victims. While spam email filtering systems have been effective by applying various statistical and machine learning algorithms, utilising text catego- rization and filtering to detect text- and email-based cyberstalking is an interesting new application. There is also the need to gather evidence by the victim. To this end we discuss a framework to detect cyberstalking in messages; short message service, multimedia messaging service, chat, instance messaging and emails, and as well as to support documenting evidence. Our framework consists of five main modules: a detection module which detects cyberstalking using message categorisation; an attacker identification module based on cyberstalkers’ previous messages history, personalisation module, aggregator module and messages and evidence collection module. We discuss our ongoing work and how different text categorization and machine learning approaches can be applied to identify cyberstalkers.\n
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\n \n\n \n \n \n \n \n Polyrepresentative Clustering: A Study of Simulated User Strategies and Representations.\n \n \n \n\n\n \n Abbasi, M. K.; and Frommholz, I.\n\n\n \n\n\n\n In Mayr, P.; Frommholz, I.; and Mutschke, P., editor(s), Proc. of the 2nd Workshop on Bibliometric-enhanced Information Retrieval (BIR2015), pages 47–54, Vienna, Austria, 2015. CEUR-WS.org\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Abbasi2015,\n\taddress = {Vienna, Austria},\n\ttitle = {Polyrepresentative {Clustering}: {A} {Study} of {Simulated} {User} {Strategies} and {Representations}},\n\tcopyright = {All rights reserved},\n\tabstract = {The principle of polyrepresentation and document clustering are two established methods for Interactive Information Retrieval, which have been used separately so far. In this paper we discuss a cluster based polyrepresentation approach for information need and document based representations. In our work we simulate and evaluate two possible cluster browsing strategies a user could apply to explore the polyrepresentative clusters. In our evaluation we apply information need and bibliographic features on the iSearch collection. Our results suggest that polyrepresentative cluster browsing may be more effective than exploring a ranked list.},\n\tbooktitle = {Proc. of the 2nd {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} ({BIR2015})},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Abbasi, Muhammad Kamran and Frommholz, Ingo},\n\teditor = {Mayr, Philipp and Frommholz, Ingo and Mutschke, Peter},\n\tyear = {2015},\n\tpages = {47--54},\n}\n\n
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\n The principle of polyrepresentation and document clustering are two established methods for Interactive Information Retrieval, which have been used separately so far. In this paper we discuss a cluster based polyrepresentation approach for information need and document based representations. In our work we simulate and evaluate two possible cluster browsing strategies a user could apply to explore the polyrepresentative clusters. In our evaluation we apply information need and bibliographic features on the iSearch collection. Our results suggest that polyrepresentative cluster browsing may be more effective than exploring a ranked list.\n
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\n \n\n \n \n \n \n \n Editorial for the Bibliometric-enhanced Information Retrieval Workshop at ECIR 2015.\n \n \n \n\n\n \n Mayr, P.; Frommholz, I.; and Mutschke, P.\n\n\n \n\n\n\n In Proceedings of the Second Workshop on Bibliometric-enhanced Information Retrieval (BIR 2015), pages 1–4, Vienna, Austria, 2015. CEUR-WS.org\n ISSN: 16130073\n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Mayr2015,\n\taddress = {Vienna, Austria},\n\ttitle = {Editorial for the {Bibliometric}-enhanced {Information} {Retrieval} {Workshop} at {ECIR} 2015},\n\tcopyright = {All rights reserved},\n\tdoi = {urn:nbn:de:0074-1143-7},\n\tbooktitle = {Proceedings of the {Second} {Workshop} on {Bibliometric}-enhanced {Information} {Retrieval} ({BIR} 2015)},\n\tpublisher = {CEUR-WS.org},\n\tauthor = {Mayr, Philipp and Frommholz, Ingo and Mutschke, Peter},\n\tyear = {2015},\n\tnote = {ISSN: 16130073},\n\tpages = {1--4},\n}\n\n
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\n  \n 2014\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Applying Cross-cultural theory to understand users' preferences on interactive information retrieval platform design.\n \n \n \n\n\n \n Chessum, K.; Liu, H.; and Frommholz, I.\n\n\n \n\n\n\n In Proceedings euroHCIR 2014, 2014. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Chessum2014,\n\ttitle = {Applying {Cross}-cultural theory to understand users' preferences on interactive information retrieval platform design},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings {euroHCIR} 2014},\n\tauthor = {Chessum, Karen and Liu, Haiming and Frommholz, Ingo},\n\tyear = {2014},\n}\n\n
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\n \n\n \n \n \n \n \n Automated Tools for Subject Information Organization: Selected Topics.\n \n \n \n\n\n \n Frommholz, I.; Abbasi, M. K.; Mladenić, D.; Grobelnik, M.; and Aström, F.\n\n\n \n\n\n\n In Golub, K., editor(s), Subject Information Access - an Interdisciplinary Approach, pages 107–148. Libraries Unlimited, 2014.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{Frommholz2014a,\n\ttitle = {Automated {Tools} for {Subject} {Information} {Organization}: {Selected} {Topics}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-61069-577-0},\n\tbooktitle = {Subject {Information} {Access} - an {Interdisciplinary} {Approach}},\n\tpublisher = {Libraries Unlimited},\n\tauthor = {Frommholz, Ingo and Abbasi, Muhammad Kamran and Mladenić, Dunja and Grobelnik, Marko and Aström, Frederik},\n\teditor = {Golub, Koraljka},\n\tyear = {2014},\n\tpages = {107--148},\n}\n\n
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\n \n\n \n \n \n \n \n On Clustering and Polyrepresentation.\n \n \n \n\n\n \n Frommholz, I.; and Abbasi, M. K.\n\n\n \n\n\n\n In de Rijke, M.; Kenter, T.; de Vries, A. P; Zhai, C.; de Jong, F.; Radinsky, K.; and Hofmann, K., editor(s), Proceedings of the European Conference on Information Retrieval (ECIR 2014), volume 1, pages 618–623, 2014. Springer\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Frommholz2014,\n\ttitle = {On {Clustering} and {Polyrepresentation}},\n\tvolume = {1},\n\tcopyright = {All rights reserved},\n\tabstract = {Polyrepresentation is one of the most prominent principles in a cognitive approach to interactive information seeking and retrieval. When it comes to interactive retrieval, clustering is another method for accessing information. While polyrepresentation has been explored and validated in a scenario where a system returns a ranking of documents, so far there are no insights if and how polyrepresentation and clustering can be combined. In this paper we discuss how both are related and present an approach to integrate polyrepresentation into clustering. We further report some initial evaluation results.},\n\tbooktitle = {Proceedings of the {European} {Conference} on {Information} {Retrieval} ({ECIR} 2014)},\n\tpublisher = {Springer},\n\tauthor = {Frommholz, Ingo and Abbasi, Muhammad Kamran},\n\teditor = {de Rijke, Maarten and Kenter, Tom and de Vries, Arjen P and Zhai, ChengXiang and de Jong, Franciska and Radinsky, Kira and Hofmann, Katja},\n\tyear = {2014},\n\tpages = {618--623},\n}\n\n
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\n\n\n
\n Polyrepresentation is one of the most prominent principles in a cognitive approach to interactive information seeking and retrieval. When it comes to interactive retrieval, clustering is another method for accessing information. While polyrepresentation has been explored and validated in a scenario where a system returns a ranking of documents, so far there are no insights if and how polyrepresentation and clustering can be combined. In this paper we discuss how both are related and present an approach to integrate polyrepresentation into clustering. We further report some initial evaluation results.\n
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\n \n\n \n \n \n \n \n Great War Stories Told by the People – Crowdsourced Cultural Heritage in Digital Museums.\n \n \n \n\n\n \n Frommholz, I.; Graves, D.; Liu, H.; Kumar, A.; and Brady, G.\n\n\n \n\n\n\n In Proceedings Digital Libraries 2014 ACM/IEEE Joint Conference on Digital Libraries (JCDL 2014) International Conference on Theory and Practice of Digital Libraries (TPDL 2014), pages 419–420, 2014. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Frommholz2014,\n\ttitle = {Great {War} {Stories} {Told} by the {People} – {Crowdsourced} {Cultural} {Heritage} in {Digital} {Museums}},\n\tcopyright = {All rights reserved},\n\tabstract = {The increasing interest in the centenary of the Great War 1914–1918 motivates the development of a digital library to capture and access valuable cultural heritage artefacts that would otherwise be lost. We will present a prototype to make available the story of the First World War in the local context of a British town, as told by the people today. The core of our prototype is crowdsourced ingest. To this end we apply latest insights from information interaction and access to foster user engagement. Open standards like CIDOC/CRM facilitate the external provision of our data and the integration of external resources. In the demo we will present our current Great War Stories prototype and how researchers from the humanities as well as digital libraries researchers will be able to benefit from and contribute to the project.},\n\tbooktitle = {Proceedings {Digital} {Libraries} 2014 {ACM}/{IEEE} {Joint} {Conference} on {Digital} {Libraries} ({JCDL} 2014) {International} {Conference} on {Theory} and {Practice} of {Digital} {Libraries} ({TPDL} 2014)},\n\tauthor = {Frommholz, Ingo and Graves, David and Liu, Haiming and Kumar, Ashwin and Brady, Gordon},\n\tyear = {2014},\n\tpages = {419--420},\n}\n\n
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\n The increasing interest in the centenary of the Great War 1914–1918 motivates the development of a digital library to capture and access valuable cultural heritage artefacts that would otherwise be lost. We will present a prototype to make available the story of the First World War in the local context of a British town, as told by the people today. The core of our prototype is crowdsourced ingest. To this end we apply latest insights from information interaction and access to foster user engagement. Open standards like CIDOC/CRM facilitate the external provision of our data and the integration of external resources. In the demo we will present our current Great War Stories prototype and how researchers from the humanities as well as digital libraries researchers will be able to benefit from and contribute to the project.\n
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\n \n\n \n \n \n \n \n Exploiting information needs and bibliographics for polyrepresentative document clustering.\n \n \n \n\n\n \n Abbasi, M. K.; and Frommholz, I.\n\n\n \n\n\n\n In Proceedings of the Bibliometrics-enhanced Information Retrieval Workshop at ECIR 2014, pages 21–28, 2014. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Abbasi2014a,\n\ttitle = {Exploiting information needs and bibliographics for polyrepresentative document clustering},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the {Bibliometrics}-enhanced {Information} {Retrieval} {Workshop} at {ECIR} 2014},\n\tauthor = {Abbasi, Muhammad Kamran and Frommholz, Ingo},\n\tyear = {2014},\n\tpages = {21--28},\n}\n\n
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\n  \n 2013\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Identifying the Relevance of Personal Values to e-Government Portals' Success: Insights from a Delphi Study.\n \n \n \n\n\n \n Almalki, O.; Duan, Y.; Frommholz, I.; and Haag, M.\n\n\n \n\n\n\n In Proc. of the International Conference on Information and Social Science (ISS 2013), pages 97–112, 2013. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Almalki2013,\n\ttitle = {Identifying the {Relevance} of {Personal} {Values} to e-{Government} {Portals}' {Success}: {Insights} from a {Delphi} {Study}},\n\tcopyright = {All rights reserved},\n\tabstract = {Most governments around the world have put considerable financial resources into the development of e-government systems. They have been making significant efforts to provide information and services online. However, previous research shows that the rate of adoption and success of e-government systems vary significantly across countries. It is argued here that culture can be an important factor affecting e- government success. This paper aims to explore the relevance of personal values to the e-government success from an individual user’s perspective. The ten basic values identified by Schwartz were used. A Delphi study was carried out with a group of experts to identify the most relevant personal values to the e-government success from an individual’s point of view. The findings suggest that four of the ten values, namely Self-direction, Security, Stimulation, and Tradition, most likely affect the success. The findings provide a basis for developing a comprehensive e-government evaluation framework to be validated using a large scale survey in Saudi Arabia.},\n\tbooktitle = {Proc. of the {International} {Conference} on {Information} and {Social} {Science} ({ISS} 2013)},\n\tauthor = {Almalki, Obaid and Duan, Yanqing and Frommholz, Ingo and Haag, Markus},\n\tyear = {2013},\n\tpages = {97--112},\n}\n\n
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\n Most governments around the world have put considerable financial resources into the development of e-government systems. They have been making significant efforts to provide information and services online. However, previous research shows that the rate of adoption and success of e-government systems vary significantly across countries. It is argued here that culture can be an important factor affecting e- government success. This paper aims to explore the relevance of personal values to the e-government success from an individual user’s perspective. The ten basic values identified by Schwartz were used. A Delphi study was carried out with a group of experts to identify the most relevant personal values to the e-government success from an individual’s point of view. The findings suggest that four of the ten values, namely Self-direction, Security, Stimulation, and Tradition, most likely affect the success. The findings provide a basis for developing a comprehensive e-government evaluation framework to be validated using a large scale survey in Saudi Arabia.\n
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\n  \n 2012\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Preliminary Study of Technical Terminology for the Retrieval of Scientific Book Metadata Records Categories and Subject Descriptors.\n \n \n \n\n\n \n Larsen, B.; Lioma, C.; Frommholz, I.; and Schütze, H.\n\n\n \n\n\n\n In SIGIR 2012 Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1131–1132, August 2012. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Larsen2012,\n\ttitle = {Preliminary {Study} of {Technical} {Terminology} for the {Retrieval} of {Scientific} {Book} {Metadata} {Records} {Categories} and {Subject} {Descriptors}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-4503-1472-5},\n\tdoi = {10.1145/2348283.2348504},\n\tabstract = {Books only represented by brief metadata (book records) are particularly hard to retrieve. One way of improving their retrieval is by extracting retrieval enhancing features from them. This work focusses on scientific (physics) book records. We ask if their technical terminology can be used as a retrieval enhancing feature. A study of 18,443 book records shows a strong correlation between their technical terminology and their likelihood of relevance. Using this finding for retrieval yields {\\textgreater}+5\\% precision and recall gains.},\n\tbooktitle = {{SIGIR} 2012 {Proceedings} of the 35th {Annual} {International} {ACM} {SIGIR} {Conference} on {Research} and {Development} in {Information} {Retrieval}},\n\tauthor = {Larsen, Birger and Lioma, Christina and Frommholz, Ingo and Schütze, Hinrich},\n\tmonth = aug,\n\tyear = {2012},\n\tpages = {1131--1132},\n}\n\n
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\n Books only represented by brief metadata (book records) are particularly hard to retrieve. One way of improving their retrieval is by extracting retrieval enhancing features from them. This work focusses on scientific (physics) book records. We ask if their technical terminology can be used as a retrieval enhancing feature. A study of 18,443 book records shows a strong correlation between their technical terminology and their likelihood of relevance. Using this finding for retrieval yields \\textgreater+5% precision and recall gains.\n
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\n \n\n \n \n \n \n \n An exploratory study on eGovernment systems success in Saudi Arabia.\n \n \n \n\n\n \n Almalki, O.; Duan, Y.; and Frommholz, I.\n\n\n \n\n\n\n In Proceedings of the 12th European Conference on eGovernment (ECEG 2012), pages 38–46, 2012. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Almalki2012,\n\ttitle = {An exploratory study on {eGovernment} systems success in {Saudi} {Arabia}},\n\tcopyright = {All rights reserved},\n\tabstract = {The evaluation of information systems (IS) has been of great interest to researchers in the last few decades. However, a limited number of studies have been conducted on the assessment of e-government systems success. e-Government improves services and efficiency and assists in building trust between governments and the public. The importance of evaluating e-government systems comes from the need of governments to ascertain what investments in the delivery of services using e-government systems via Information and Communication Technology (ICT) are appropriate. The aim of this research is to explore the main aspects and factors for evaluating e- government systems success. The study has been conducted in the context of the Saudi government. This government has invested heavily in ICT infrastructure and e-government systems in the last decade. This huge investment reflects the ambition of the government to exploit the advantages of using e-government systems to deliver government services to the public via ICT. Accordingly, the Yesser Program was established in 2005 as an e-government initiative in conjunction with the Communication and Information Technology Commission (CITC) and the Ministry of Finance (MoF). To achieve the aim of this study, interviews were conducted with 49 Saudi citizens to explore their perceptions of e-government systems and their success. The interviewees who participated in our study were varied in their demographic information. The responses of the interviewees will help to identify the success factors of e-governments systems and establish a preliminary framework for evaluating e-government success. The study objectives have been achieved and the findings reveal many issues regarding the factors that affect e-government systems success.},\n\tbooktitle = {Proceedings of the 12th {European} {Conference} on {eGovernment} ({ECEG} 2012)},\n\tauthor = {Almalki, Obaid and Duan, Yanqing and Frommholz, Ingo},\n\tyear = {2012},\n\tpages = {38--46},\n}\n\n
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\n The evaluation of information systems (IS) has been of great interest to researchers in the last few decades. However, a limited number of studies have been conducted on the assessment of e-government systems success. e-Government improves services and efficiency and assists in building trust between governments and the public. The importance of evaluating e-government systems comes from the need of governments to ascertain what investments in the delivery of services using e-government systems via Information and Communication Technology (ICT) are appropriate. The aim of this research is to explore the main aspects and factors for evaluating e- government systems success. The study has been conducted in the context of the Saudi government. This government has invested heavily in ICT infrastructure and e-government systems in the last decade. This huge investment reflects the ambition of the government to exploit the advantages of using e-government systems to deliver government services to the public via ICT. Accordingly, the Yesser Program was established in 2005 as an e-government initiative in conjunction with the Communication and Information Technology Commission (CITC) and the Ministry of Finance (MoF). To achieve the aim of this study, interviews were conducted with 49 Saudi citizens to explore their perceptions of e-government systems and their success. The interviewees who participated in our study were varied in their demographic information. The responses of the interviewees will help to identify the success factors of e-governments systems and establish a preliminary framework for evaluating e-government success. The study objectives have been achieved and the findings reveal many issues regarding the factors that affect e-government systems success.\n
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\n  \n 2011\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n \n Quantum Interaction: 5th International Symposium, QI 2011, Aberdeen, UK, Revised Selected Papers.\n \n \n \n \n\n\n \n Song, D.; Melucci, M.; Frommholz, I.; Zhang, P.; Wang, L.; and Arafat, S.\n\n\n \n\n\n\n Springer Berlin Heidelberg, October 2011.\n \n\n\n\n
\n\n\n\n \n \n \"QuantumPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{Song2011,\n\ttitle = {Quantum {Interaction}: 5th {International} {Symposium}, {QI} 2011, {Aberdeen}, {UK}, {Revised} {Selected} {Papers}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-642-24970-9},\n\turl = {https://link.springer.com/book/10.1007/978-3-642-24971-6},\n\tpublisher = {Springer Berlin Heidelberg},\n\tauthor = {Song, Dawei and Melucci, Massimo and Frommholz, Ingo and Zhang, Peng and Wang, Lei and Arafat, Sachi},\n\teditor = {Song, Dawei and Melucci, Massimo and Frommholz, Ingo and Zhang, Peng and Wang, Lei and Arafat, Sachi},\n\tmonth = oct,\n\tyear = {2011},\n}\n\n
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\n \n\n \n \n \n \n \n Towards Quantum-Based DB+IR Processing Based on the Principle of Polyrepresentation.\n \n \n \n\n\n \n Zellhöfer, D.; Frommholz, I.; Schmitt, I.; Lalmas, M.; and van Rijsbergen, K.\n\n\n \n\n\n\n In Clough, P.; Foley, C.; Gurrin, C.; Jones, G. J F; Kraaij, W.; Lee, H.; and Mudoch, V., editor(s), Advances in Information Retrieval, volume 6611, pages 729–732, 2011. Springer\n Series Title: Lecture Notes in Computer Science\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{LNCS66110729,\n\ttitle = {Towards {Quantum}-{Based} {DB}+{IR} {Processing} {Based} on the {Principle} of {Polyrepresentation}},\n\tvolume = {6611},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-642-20160-8},\n\tbooktitle = {Advances in {Information} {Retrieval}},\n\tpublisher = {Springer},\n\tauthor = {Zellhöfer, David and Frommholz, Ingo and Schmitt, Ingo and Lalmas, Mounia and van Rijsbergen, Keith},\n\teditor = {Clough, Paul and Foley, Colum and Gurrin, Cathal and Jones, Gareth J F and Kraaij, Wessel and Lee, Hyowon and Mudoch, Vanessa},\n\tyear = {2011},\n\tnote = {Series Title: Lecture Notes in Computer Science},\n\tpages = {729--732},\n}\n\n
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\n \n\n \n \n \n \n \n Processing Queries in Session in a Quantum-Inspired IR Framework.\n \n \n \n\n\n \n Frommholz, I.; Piwowarski, B.; Lalmas, M.; and van Rijsbergen, K.\n\n\n \n\n\n\n In Clough, P.; Foley, C.; Gurrin, C.; Jones, G. J F; Kraaij, W.; Lee, H.; and Mudoch, V., editor(s), Advances in Information Retrieval, volume 6611, pages 751–754, 2011. Springer\n Series Title: Lecture Notes in Computer Science\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{LNCS66110751,\n\ttitle = {Processing {Queries} in {Session} in a {Quantum}-{Inspired} {IR} {Framework}},\n\tvolume = {6611},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-642-20160-8},\n\tbooktitle = {Advances in {Information} {Retrieval}},\n\tpublisher = {Springer},\n\tauthor = {Frommholz, Ingo and Piwowarski, Benjamin and Lalmas, Mounia and van Rijsbergen, Keith},\n\teditor = {Clough, Paul and Foley, Colum and Gurrin, Cathal and Jones, Gareth J F and Kraaij, Wessel and Lee, Hyowon and Mudoch, Vanessa},\n\tyear = {2011},\n\tnote = {Series Title: Lecture Notes in Computer Science},\n\tpages = {751--754},\n}\n\n
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\n \n\n \n \n \n \n \n On the Probabilistic Logical Modelling of Quantum and Geometrically-Inspired IR.\n \n \n \n\n\n \n Smeraldi, F.; Martinez-Alvarez, M.; Frommholz, I.; and Roelleke, T.\n\n\n \n\n\n\n In Proceedings of the 2nd Italian Information Retrieval Workshop 2011, Milan, 2011. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Smeraldi/etal:11,\n\taddress = {Milan},\n\ttitle = {On the {Probabilistic} {Logical} {Modelling} of {Quantum} and {Geometrically}-{Inspired} {IR}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the 2nd {Italian} {Information} {Retrieval} {Workshop} 2011},\n\tauthor = {Smeraldi, Fabrizio and Martinez-Alvarez, Miguel and Frommholz, Ingo and Roelleke, Thomas},\n\tyear = {2011},\n}\n\n
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\n  \n 2010\n \n \n (11)\n \n \n
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\n \n\n \n \n \n \n \n \n Exploring a Multidimensional Representation of Documents and Queries (extended version).\n \n \n \n \n\n\n \n Piwowarski, B.; Frommholz, I.; Lalmas, M.; and Van Rijsbergen, K.\n\n\n \n\n\n\n 2010.\n \n\n\n\n
\n\n\n\n \n \n \"ExploringPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{Piwowarski2010b,\n\ttitle = {Exploring a {Multidimensional} {Representation} of {Documents} and {Queries} (extended version)},\n\tcopyright = {All rights reserved},\n\turl = {https://arxiv.org/abs/1002.3238},\n\tauthor = {Piwowarski, Benjamin and Frommholz, Ingo and Lalmas, Mounia and Van Rijsbergen, Keith},\n\tyear = {2010},\n}\n\n
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\n \n\n \n \n \n \n \n Supporting Polyrepresentation in a Quantum-inspired Geometrical Retrieval Framework.\n \n \n \n\n\n \n Frommholz, I.; Larsen, B.; Piwowarski, B.; Lalmas, M.; Ingwersen, P.; and Van Rijsbergen, K.\n\n\n \n\n\n\n In Clough, P.; Foley, C.; Gurrin, C.; Jones, G. J. F.; and Kraaij, W., editor(s), IIiX '10: Proceedings of the third symposium on Information Interaction in Context (IIiX 2010), pages 115–124, 2010. ACM\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Frommholz2011,\n\ttitle = {Supporting {Polyrepresentation} in a {Quantum}-inspired {Geometrical} {Retrieval} {Framework}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{IIiX} '10: {Proceedings} of the third symposium on {Information} {Interaction} in {Context} ({IIiX} 2010)},\n\tpublisher = {ACM},\n\tauthor = {Frommholz, Ingo and Larsen, Birger and Piwowarski, Benjamin and Lalmas, Mounia and Ingwersen, Peter and Van Rijsbergen, Keith},\n\teditor = {Clough, Paul and Foley, Colum and Gurrin, Cathal and Jones, Gareth J. F. and Kraaij, Wessel},\n\tyear = {2010},\n\tpages = {115--124},\n}\n\n
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\n \n\n \n \n \n \n \n What can Quantum Theory bring to Information Retrieval?.\n \n \n \n\n\n \n Piwowarski, B.; Frommholz, I.; Lalmas, M.; and van Rijsbergen, K.\n\n\n \n\n\n\n In CIKM '10: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, pages 59–68, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Piwowarski2010a,\n\ttitle = {What can {Quantum} {Theory} bring to {Information} {Retrieval}?},\n\tcopyright = {All rights reserved},\n\tdoi = {10.1145/1871437.1871450},\n\tbooktitle = {{CIKM} '10: {Proceedings} of the 19th {ACM} {International} {Conference} on {Information} and {Knowledge} {Management}},\n\tauthor = {Piwowarski, Benjamin and Frommholz, Ingo and Lalmas, Mounia and van Rijsbergen, Keith},\n\tyear = {2010},\n\tpages = {59--68},\n}\n\n
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\n \n\n \n \n \n \n \n How Quantum Theory is Developing the Field of Information Retrieval.\n \n \n \n\n\n \n Song, D.; Lalmas, M.; van Rijsbergen, K.; Frommholz, I.; Piwowarski, B.; Wang, J.; Zhang, P; Zuccon, G.; Bruza, P.; Arafat, S.; Azzopardi, L.; Huertas-Rosero, A.; Hou, Y; Melucci, M.; and Rüger, S.\n\n\n \n\n\n\n In Proceedings Quantum Interaction 2010, October 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Song2010,\n\ttitle = {How {Quantum} {Theory} is {Developing} the {Field} of {Information} {Retrieval}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings {Quantum} {Interaction} 2010},\n\tauthor = {Song, Dawei and Lalmas, Mounia and van Rijsbergen, Keith and Frommholz, Ingo and Piwowarski, Benjamin and Wang, Jun and Zhang, P and Zuccon, Guido and Bruza, Peter and Arafat, Sachi and Azzopardi, Leif and Huertas-Rosero, Alvaro and Hou, Y and Melucci, Massimo and Rüger, Stefan},\n\tmonth = oct,\n\tyear = {2010},\n}\n\n
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\n \n\n \n \n \n \n \n Filtering documents with subspaces.\n \n \n \n\n\n \n Piwowarski, B.; Frommholz, I.; Moshfeghi, Y.; Lalmas, M.; and van Rijsbergen, K.\n\n\n \n\n\n\n In Proceedings of the 32nd European Conference on Information Retrieval (ECIR 2010), pages 615–618, January 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Piwowarski/etal:10,\n\ttitle = {Filtering documents with subspaces},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the 32nd {European} {Conference} on {Information} {Retrieval} ({ECIR} 2010)},\n\tauthor = {Piwowarski, Benjamin and Frommholz, Ingo and Moshfeghi, Yashar and Lalmas, Mounia and van Rijsbergen, Keith},\n\tmonth = jan,\n\tyear = {2010},\n\tpages = {615--618},\n}\n\n
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\n \n\n \n \n \n \n \n \n Research and Advanced Technology for Digital Libraries 14th European Conference, ECDL 2010, Glasgow, UK, September 6-10, 2010. Proceedings.\n \n \n \n \n\n\n \n Lalmas, M.; Jose, J.; Rauber, A.; Sebastiani, F.; and Frommholz, I.\n\n\n \n\n\n\n Springer, September 2010.\n \n\n\n\n
\n\n\n\n \n \n \"ResearchPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{Lalmas2010,\n\ttitle = {Research and {Advanced} {Technology} for {Digital} {Libraries} 14th {European} {Conference}, {ECDL} 2010, {Glasgow}, {UK}, {September} 6-10, 2010. {Proceedings}},\n\tcopyright = {All rights reserved},\n\turl = {http://www.springerlink.com/content/tx53gn514370/},\n\tpublisher = {Springer},\n\tauthor = {Lalmas, Mounia and Jose, Joemon and Rauber, Andreas and Sebastiani, Fabrizio and Frommholz, Ingo},\n\teditor = {Lalmas, Mounia and Jose, Joemon and Rauber, Andreas and Sebastiani, Fabrizio and Frommholz, Ingo},\n\tmonth = sep,\n\tyear = {2010},\n}\n\n
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\n \n\n \n \n \n \n \n Guest Editors' introduction to the focussed issue on the 14th European Conference on Digital Libraries (ECDL 2010).\n \n \n \n\n\n \n Frommholz, I.; Rauber, A.; and Sebastiani, F.\n\n\n \n\n\n\n International Journal on Digital Libraries, 11(2): 57–58. 2010.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{Frommholz2010,\n\ttitle = {Guest {Editors}' introduction to the focussed issue on the 14th {European} {Conference} on {Digital} {Libraries} ({ECDL} 2010)},\n\tvolume = {11},\n\tcopyright = {All rights reserved},\n\tissn = {14325012 14321300},\n\tdoi = {10.1007/s00799-011-0068-6},\n\tnumber = {2},\n\tjournal = {International Journal on Digital Libraries},\n\tauthor = {Frommholz, I. and Rauber, A. and Sebastiani, F.},\n\tyear = {2010},\n\tpages = {57--58},\n}\n\n
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\n \n\n \n \n \n \n \n Workshop information retrieval WIR 2010.\n \n \n \n\n\n \n Frommholz, I.; and Klas, C.\n\n\n \n\n\n\n In LWA 2010 - Lernen, Wissen und Adaptivitat - Learning, Knowledge, and Adaptivity, Workshop Proceedings, pages 167–168, 2010. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Frommholz2010a,\n\ttitle = {Workshop information retrieval {WIR} 2010},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{LWA} 2010 - {Lernen}, {Wissen} und {Adaptivitat} - {Learning}, {Knowledge}, and {Adaptivity}, {Workshop} {Proceedings}},\n\tauthor = {Frommholz, I. and Klas, C.-P.},\n\tyear = {2010},\n\tpages = {167--168},\n}\n\n
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\n \n\n \n \n \n \n \n Towards a Geometrical Cognitive Framework.\n \n \n \n\n\n \n Frommholz, I.; van Rijsbergen, K.; Crestani, F.; and Lalmas, M.\n\n\n \n\n\n\n In Larsen, B.; Schneider, J.; Åström, F.; and Schlemmer, B., editor(s), The Janus Faced Scholar. A Festschrift in Honour of Peter Ingwersen, pages 43–48. July 2010.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@incollection{Frommholz2010b,\n\ttitle = {Towards a {Geometrical} {Cognitive} {Framework}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-87-7415-318-4},\n\tabstract = {Ingwersen’s cognitive framework is regarded as the begin- ning of a turn which eventually should bring together classical system- oriented and user-oriented IR communities. One of the consequences of this framework is the polyrepresentation principle. The Logical Uncertainty Principle (LUP) is regarded as a compatible model with the cognitive framework. Recently it was shown how LUP can be expressed using the mathematics of Hilbert spaces. This formalism, which is applied in quantum mechanics, harmonises geometry, probability theory and logics. Apart from being a way to express LUP, a further potential arises from a quantum perspective of IR. We present an interactive framework as an example of a quantum-inspired approach which also supports polyrepresentation.},\n\tbooktitle = {The {Janus} {Faced} {Scholar}. {A} {Festschrift} in {Honour} of {Peter} {Ingwersen}},\n\tauthor = {Frommholz, Ingo and van Rijsbergen, Keith and Crestani, Fabio and Lalmas, Mounia},\n\teditor = {Larsen, Birger and Schneider, Jesper and Åström, Fredrik and Schlemmer, Balázs},\n\tmonth = jul,\n\tyear = {2010},\n\tpages = {43--48},\n}\n\n
\n
\n\n\n
\n Ingwersen’s cognitive framework is regarded as the begin- ning of a turn which eventually should bring together classical system- oriented and user-oriented IR communities. One of the consequences of this framework is the polyrepresentation principle. The Logical Uncertainty Principle (LUP) is regarded as a compatible model with the cognitive framework. Recently it was shown how LUP can be expressed using the mathematics of Hilbert spaces. This formalism, which is applied in quantum mechanics, harmonises geometry, probability theory and logics. Apart from being a way to express LUP, a further potential arises from a quantum perspective of IR. We present an interactive framework as an example of a quantum-inspired approach which also supports polyrepresentation.\n
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\n \n\n \n \n \n \n \n \n Knowledge Modeling in Prior Art Search.\n \n \n \n \n\n\n \n Graf, E.; Frommholz, I.; Lalmas, M.; and van Rijsbergen, K.\n\n\n \n\n\n\n In Cunningham, H.; Hanbury, A.; and Rüger, S., editor(s), Proceedings of the First Information Retrieval Facility Conference, IRFC 2010, volume 6107, pages 31–46, Berlin, Heidelberg, 2010. Springer Berlin Heidelberg\n Series Title: Lecture Notes in Computer Science\n\n\n\n
\n\n\n\n \n \n \"KnowledgePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Graf/etal:2010,\n\taddress = {Berlin, Heidelberg},\n\ttitle = {Knowledge {Modeling} in {Prior} {Art} {Search}},\n\tvolume = {6107},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-642-13083-0},\n\turl = {http://www.springerlink.com/content/h33237742210026u/},\n\tdoi = {10.1007/978-3-642-13084-7},\n\tabstract = {This study explores the benefits of integrating knowledge representations in prior art patent retrieval. Key to the introduced approach is the utilization of human judgment available in the form of classifications assigned to patent documents. The paper first outlines in detail how a methodology for the extraction of knowledge from such an hierarchical classification system can be established. Further potential ways of integrating this knowledge with existing Information Retrieval paradigms in a scalable and flexible manner are investigated. Finally based on these integration strategies the effectiveness in terms of recall and precision is evaluated in the context of a prior art search task for European patents. As a result of this evaluation it can be established that in general the proposed knowledge expansion techniques are particularly beneficial to recall and, with respect to optimizing field retrieval settings, further result in significant precision gains.},\n\turldate = {2010-09-24},\n\tbooktitle = {Proceedings of the {First} {Information} {Retrieval} {Facility} {Conference}, {IRFC} 2010},\n\tpublisher = {Springer Berlin Heidelberg},\n\tauthor = {Graf, Erik and Frommholz, Ingo and Lalmas, Mounia and van Rijsbergen, Keith},\n\teditor = {Cunningham, Hamish and Hanbury, Allan and Rüger, Stefan},\n\tyear = {2010},\n\tnote = {Series Title: Lecture Notes in Computer Science},\n\tpages = {31--46},\n}\n\n
\n
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\n This study explores the benefits of integrating knowledge representations in prior art patent retrieval. Key to the introduced approach is the utilization of human judgment available in the form of classifications assigned to patent documents. The paper first outlines in detail how a methodology for the extraction of knowledge from such an hierarchical classification system can be established. Further potential ways of integrating this knowledge with existing Information Retrieval paradigms in a scalable and flexible manner are investigated. Finally based on these integration strategies the effectiveness in terms of recall and precision is evaluated in the context of a prior art search task for European patents. As a result of this evaluation it can be established that in general the proposed knowledge expansion techniques are particularly beneficial to recall and, with respect to optimizing field retrieval settings, further result in significant precision gains.\n
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\n \n\n \n \n \n \n \n \n Exploring a Multidimensional Representation of Documents and Queries.\n \n \n \n \n\n\n \n Piwowarski, B.; Frommholz, I.; Lalmas, M.; and Van Rijsbergen, K.\n\n\n \n\n\n\n In Proceedings of the 9th RIAO Conferences (RIAO 2010), Paris, France, June 2010. University of Glasgow, Department of Computing Science\n arXiv: 1002.3238v1\n\n\n\n
\n\n\n\n \n \n \"ExploringPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Piwowarski/etal:10c,\n\taddress = {Paris, France},\n\ttitle = {Exploring a {Multidimensional} {Representation} of {Documents} and {Queries}},\n\tcopyright = {All rights reserved},\n\turl = {http://arxiv.org/abs/1002.3238},\n\tbooktitle = {Proceedings of the 9th {RIAO} {Conferences} ({RIAO} 2010)},\n\tpublisher = {University of Glasgow, Department of Computing Science},\n\tauthor = {Piwowarski, Benjamin and Frommholz, Ingo and Lalmas, Mounia and Van Rijsbergen, Keith},\n\tmonth = jun,\n\tyear = {2010},\n\tnote = {arXiv: 1002.3238v1},\n}\n\n
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\n  \n 2009\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n Towards a Geometrical Model for Polyrepresentation of Information Objects.\n \n \n \n\n\n \n Frommholz, I.; and Van Rijsbergen, K.\n\n\n \n\n\n\n In Mandl, T.; and Frommholz, I., editor(s), Proc. of the GI Information Retrieval Workshop at LWA 2009, 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Frommholz2009,\n\ttitle = {Towards a {Geometrical} {Model} for {Polyrepresentation} of {Information} {Objects}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proc. of the {GI} {Information} {Retrieval} {Workshop} at {LWA} 2009},\n\tauthor = {Frommholz, Ingo and Van Rijsbergen, Keith},\n\teditor = {Mandl, Thomas and Frommholz, Ingo},\n\tyear = {2009},\n}\n\n
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\n \n\n \n \n \n \n \n Workshop information retrieval WIR 2009.\n \n \n \n\n\n \n Frommholz, I.; and Mandl, T.\n\n\n \n\n\n\n In LWA 2009 - Workshop-Woche: Lernen-Wissen-Adaptivitat - Learning, Knowledge, and Adaptivity, 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Frommholz2009b,\n\ttitle = {Workshop information retrieval {WIR} 2009},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{LWA} 2009 - {Workshop}-{Woche}: {Lernen}-{Wissen}-{Adaptivitat} - {Learning}, {Knowledge}, and {Adaptivity}},\n\tauthor = {Frommholz, I. and Mandl, T.},\n\tyear = {2009},\n}\n\n
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\n \n\n \n \n \n \n \n Proceedings of the Workshop Information Retrieval 2009 (WIR 2009).\n \n \n \n\n\n \n Mandl, T.; and Frommholz, I.\n\n\n \n\n\n\n 2009.\n Publication Title: Technology\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@book{Mandl2009,\n\ttitle = {Proceedings of the {Workshop} {Information} {Retrieval} 2009 ({WIR} 2009)},\n\tcopyright = {All rights reserved},\n\tauthor = {Mandl, Thomas and Frommholz, Ingo},\n\tyear = {2009},\n\tnote = {Publication Title: Technology},\n}\n\n
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\n \n\n \n \n \n \n \n Multi-facet Classification of E-Mails in a Helpdesk Scenario.\n \n \n \n\n\n \n Beckers, T.; Frommholz, I.; and Bönning, R.\n\n\n \n\n\n\n In Mandl, T.; and Frommholz, I., editor(s), Proc. of the GI Information Retrieval Workshop at LWA 2009, 2009. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Frommholz2009a,\n\ttitle = {Multi-facet {Classification} of {E}-{Mails} in a {Helpdesk} {Scenario}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proc. of the {GI} {Information} {Retrieval} {Workshop} at {LWA} 2009},\n\tauthor = {Beckers, Thomas and Frommholz, Ingo and Bönning, Ralf},\n\teditor = {Mandl, Thomas and Frommholz, Ingo},\n\tyear = {2009},\n}\n\n
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\n  \n 2008\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n A Probabilistic Framework for Information Modelling and Retrieval Based on User Annotations on Digital Objects.\n \n \n \n \n\n\n \n Frommholz, I.\n\n\n \n\n\n\n Ph.D. Thesis, University of Duisburg-Essen, 2008.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@phdthesis{Frommholz:08,\n\ttitle = {A {Probabilistic} {Framework} for {Information} {Modelling} and {Retrieval} {Based} on {User} {Annotations} on {Digital} {Objects}},\n\tcopyright = {All rights reserved},\n\turl = {https://duepublico2.uni-due.de/servlets/MCRFileNodeServlet/duepublico_derivate_00021216/dissertation_frommholz.pdf},\n\tabstract = {Annotations are a means to make critical remarks, to explain and comment things, to add notes and give opinions, and to relate objects. Nowadays, they can be found in digital libraries and collaboratories, for example as a building block for scientific discussion on the one hand or as private notes on the other. We further find them in product reviews, scientific databases and many ``Web 2.0'' applications; even well-established concepts like emails can be regarded as annotations in a certain sense. Digital annotations can be (textual) comments, markings (i.e.{\\textbackslash} highlighted parts) and references to other documents or document parts. Since annotations convey information which is potentially important to satisfy a user's information need, this thesis tries to answer the question of how to exploit annotations for information retrieval. It gives a first answer to the question if retrieval effectiveness can be improved with annotations. A survey of the ``annotation universe'' reveals some facets of annotations; for example, they can be content level annotations (extending the content of the annotation object) or meta level ones (saying something about the annotated object). Besides the annotations themselves, other objects created during the process of annotation can be interesting for retrieval, these being the annotated fragments. These objects are integrated into an object-oriented model comprising digital objects such as structured documents and annotations as well as fragments. In this model, the different relationships among the various objects are reflected. From this model, the basic data structure for annotation-based retrieval, the structured annotation hypertext, is derived. In order to thoroughly exploit the information contained in structured annotation hypertexts, a probabilistic, object-oriented logical framework called POLAR is introduced. In POLAR, structured annotation hypertexts can be modelled by means of probabilistic propositions and four-valued logics. POLAR allows for specifying several relationships among annotations and annotated (sub)parts or fragments. Queries can be posed to extract the knowledge contained in structured annotation hypertexts. POLAR supports annotation-based retrieval, i.e.{\\textbackslash} document and discussion search, by applying an augmentation strategy (knowledge augmentation, propagating propositions from subcontexts like annotations, or relevance augmentation, where retrieval status values are propagated) in conjunction with probabilistic inference, where P(d {\\textbackslash}rightarrow q), the probability that a document d implies a query q, is estimated. POLAR's semantics is based on possible worlds and accessibility relations. It is implemented on top of four-valued probabilistic Datalog. POLAR's core retrieval functionality, knowledge augmentation with probabilistic inference, is evaluated for discussion and document search. The experiments show that all relevant POLAR objects, merged annotation targets, fragments and content annotations, are able to increase retrieval effectiveness when used as a context for discussionor document search. Additional experiments reveal that we can determine the polarity of annotations with an accuracy of around 80\\%.},\n\tschool = {University of Duisburg-Essen},\n\tauthor = {Frommholz, Ingo},\n\tyear = {2008},\n}\n\n
\n
\n\n\n
\n Annotations are a means to make critical remarks, to explain and comment things, to add notes and give opinions, and to relate objects. Nowadays, they can be found in digital libraries and collaboratories, for example as a building block for scientific discussion on the one hand or as private notes on the other. We further find them in product reviews, scientific databases and many ``Web 2.0'' applications; even well-established concepts like emails can be regarded as annotations in a certain sense. Digital annotations can be (textual) comments, markings (i.e.\\ highlighted parts) and references to other documents or document parts. Since annotations convey information which is potentially important to satisfy a user's information need, this thesis tries to answer the question of how to exploit annotations for information retrieval. It gives a first answer to the question if retrieval effectiveness can be improved with annotations. A survey of the ``annotation universe'' reveals some facets of annotations; for example, they can be content level annotations (extending the content of the annotation object) or meta level ones (saying something about the annotated object). Besides the annotations themselves, other objects created during the process of annotation can be interesting for retrieval, these being the annotated fragments. These objects are integrated into an object-oriented model comprising digital objects such as structured documents and annotations as well as fragments. In this model, the different relationships among the various objects are reflected. From this model, the basic data structure for annotation-based retrieval, the structured annotation hypertext, is derived. In order to thoroughly exploit the information contained in structured annotation hypertexts, a probabilistic, object-oriented logical framework called POLAR is introduced. In POLAR, structured annotation hypertexts can be modelled by means of probabilistic propositions and four-valued logics. POLAR allows for specifying several relationships among annotations and annotated (sub)parts or fragments. Queries can be posed to extract the knowledge contained in structured annotation hypertexts. POLAR supports annotation-based retrieval, i.e.\\ document and discussion search, by applying an augmentation strategy (knowledge augmentation, propagating propositions from subcontexts like annotations, or relevance augmentation, where retrieval status values are propagated) in conjunction with probabilistic inference, where P(d \\rightarrow q), the probability that a document d implies a query q, is estimated. POLAR's semantics is based on possible worlds and accessibility relations. It is implemented on top of four-valued probabilistic Datalog. POLAR's core retrieval functionality, knowledge augmentation with probabilistic inference, is evaluated for discussion and document search. The experiments show that all relevant POLAR objects, merged annotation targets, fragments and content annotations, are able to increase retrieval effectiveness when used as a context for discussionor document search. Additional experiments reveal that we can determine the polarity of annotations with an accuracy of around 80%.\n
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\n \n\n \n \n \n \n \n Combining Cognitive and System-Oriented Approaches for Designing IR User Interfaces.\n \n \n \n\n\n \n Fuhr, N.; Jordan, M.; and Frommholz, I.\n\n\n \n\n\n\n In Proceedings of the 2nd International Workshop on Adaptive Information Retrieval (AIR 2008), October 2008. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Fuhr/etal:08a,\n\ttitle = {Combining {Cognitive} and {System}-{Oriented} {Approaches} for {Designing} {IR} {User} {Interfaces}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the 2nd {International} {Workshop} on {Adaptive} {Information} {Retrieval} ({AIR} 2008)},\n\tauthor = {Fuhr, Norbert and Jordan, Matthias and Frommholz, Ingo},\n\tmonth = oct,\n\tyear = {2008},\n}\n\n
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\n \n\n \n \n \n \n \n Determining the Polarity of Postings for Discussion Search.\n \n \n \n\n\n \n Frommholz, I.; and Lechtenfeld, M.\n\n\n \n\n\n\n In Proc. of the ``Information Retrieval 2008'' Workshop at LWA 2008, Würzburg, Germany, October 2008. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Frommholz/Lechtenfeld:08,\n\ttitle = {Determining the {Polarity} of {Postings} for {Discussion} {Search}},\n\tcopyright = {All rights reserved},\n\tabstract = {When performing discussion search it might be desirable to consider non-topical measures like the number of positive and negative replies to a posting, for instance as one possible indicator for the trustworthiness of a comment. Systems like POLAR are able to integrate such values into the retrieval function. To automatically detect the polarity of postings, they need to be classified into positive and negative ones w.r.t.{\\textbackslash} the comment or document they are annotating. We present a machine learning approach for polarity detection which is based on Support Vector Machines. We discuss and identify appropriate term and context features. Experiments with ZDNet News show that an accuracy of around 79\\%-80\\% can be achieved for automatically classifying comments according to their polarity.},\n\tbooktitle = {Proc. of the ``{Information} {Retrieval} 2008'' {Workshop} at {LWA} 2008, {Würzburg}, {Germany}},\n\tauthor = {Frommholz, Ingo and Lechtenfeld, Marc},\n\tmonth = oct,\n\tyear = {2008},\n}\n\n
\n
\n\n\n
\n When performing discussion search it might be desirable to consider non-topical measures like the number of positive and negative replies to a posting, for instance as one possible indicator for the trustworthiness of a comment. Systems like POLAR are able to integrate such values into the retrieval function. To automatically detect the polarity of postings, they need to be classified into positive and negative ones w.r.t.\\ the comment or document they are annotating. We present a machine learning approach for polarity detection which is based on Support Vector Machines. We discuss and identify appropriate term and context features. Experiments with ZDNet News show that an accuracy of around 79%-80% can be achieved for automatically classifying comments according to their polarity.\n
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\n  \n 2007\n \n \n (3)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n Annotation-based Document Retrieval with Probabilistic Logics.\n \n \n \n\n\n \n Frommholz, I.\n\n\n \n\n\n\n In Fuhr, N.; Kovacs, L.; and Meghini, C., editor(s), Research and Advanced Technology for Digital Libraries. Proc. of the 11th European Conference on Digital Libraries (ECDL 2007), pages 321–332, Heidelberg et al., September 2007. Springer\n Series Title: Lecture Notes in Computer Science\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Frommholz:07,\n\taddress = {Heidelberg et al.},\n\ttitle = {Annotation-based {Document} {Retrieval} with {Probabilistic} {Logics}},\n\tcopyright = {All rights reserved},\n\tabstract = {Annotations are an important part in today's digital libraries and Web information systems as an instrument for interactive knowledge creation. Annotation-based document retrieval aims at exploiting annotations as a rich source of evidence for document search. The POLAR framework supports annotation-based document search by translating POLAR programs into four-valued probabilistic datalog and applying a retrieval strategy called knowledge augmentation, where the content of a document is augmented with the content of its attached annotations. In order to evaluate this approach and POLAR's performance in document search, we set up a test collection based on a snapshot of ZDNet News, containing IT-related articles and attached discussion threads. Our evaluation shows that knowledge augmentation has the potential to increase retrieval effectiveness when applied in a moderate way.},\n\tbooktitle = {Research and {Advanced} {Technology} for {Digital} {Libraries}. {Proc}. of the 11th {European} {Conference} on {Digital} {Libraries} ({ECDL} 2007)},\n\tpublisher = {Springer},\n\tauthor = {Frommholz, Ingo},\n\teditor = {Fuhr, Norbert and Kovacs, Laszlo and Meghini, Carlo},\n\tmonth = sep,\n\tyear = {2007},\n\tnote = {Series Title: Lecture Notes in Computer Science},\n\tpages = {321--332},\n}\n\n
\n
\n\n\n
\n Annotations are an important part in today's digital libraries and Web information systems as an instrument for interactive knowledge creation. Annotation-based document retrieval aims at exploiting annotations as a rich source of evidence for document search. The POLAR framework supports annotation-based document search by translating POLAR programs into four-valued probabilistic datalog and applying a retrieval strategy called knowledge augmentation, where the content of a document is augmented with the content of its attached annotations. In order to evaluate this approach and POLAR's performance in document search, we set up a test collection based on a snapshot of ZDNet News, containing IT-related articles and attached discussion threads. Our evaluation shows that knowledge augmentation has the potential to increase retrieval effectiveness when applied in a moderate way.\n
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\n \n\n \n \n \n \n \n The Heterogeneous Collection Track at INEX 2006.\n \n \n \n\n\n \n Frommholz, I.; and Larson, R. R\n\n\n \n\n\n\n In Fuhr, N.; Lalmas, M.; and Trotman, A., editor(s), Comparative Evaluation of XML Information Retrieval Systems. INEX 2006, pages 312–317, Heidelberg et al., 2007. Springer\n Series Title: LNCS Series Number: 4518\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Frommholz/Larson:07b,\n\taddress = {Heidelberg et al.},\n\ttitle = {The {Heterogeneous} {Collection} {Track} at {INEX} 2006},\n\tcopyright = {All rights reserved},\n\tabstract = {While the primary INEX test collection is based on a single DTD, it is realistic to assume that most XML collections consist of documents from different sources. This leads to a heterogeneity of syntax, semantics and document genre. In order to cope with the challenges posed by such a diverse environment, the heterogeneous track was offered at INEX 2006. Within this track, we set up a collection consisting of several different and diverse collections. We defined retrieval tasks and identified a set of topics. These are the foundations for future run submissions, relevance assessments and proper evaluation of the proposed methods dealing with a heterogeneous collection.},\n\tbooktitle = {Comparative {Evaluation} of {XML} {Information} {Retrieval} {Systems}. {INEX} 2006},\n\tpublisher = {Springer},\n\tauthor = {Frommholz, Ingo and Larson, Ray R},\n\teditor = {Fuhr, Norbert and Lalmas, Mounia and Trotman, Andrew},\n\tyear = {2007},\n\tnote = {Series Title: LNCS\nSeries Number: 4518},\n\tpages = {312--317},\n}\n\n
\n
\n\n\n
\n While the primary INEX test collection is based on a single DTD, it is realistic to assume that most XML collections consist of documents from different sources. This leads to a heterogeneity of syntax, semantics and document genre. In order to cope with the challenges posed by such a diverse environment, the heterogeneous track was offered at INEX 2006. Within this track, we set up a collection consisting of several different and diverse collections. We defined retrieval tasks and identified a set of topics. These are the foundations for future run submissions, relevance assessments and proper evaluation of the proposed methods dealing with a heterogeneous collection.\n
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\n \n\n \n \n \n \n \n Report on the INEX 2006 Heterogeneous Collection Track.\n \n \n \n\n\n \n Frommholz, I.; and Larson, R. R\n\n\n \n\n\n\n In SIGIR Forum, volume 41, June 2007. \n Series Number: 1\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@inproceedings{Frommholz/Larson:07,\n\ttitle = {Report on the {INEX} 2006 {Heterogeneous} {Collection} {Track}},\n\tvolume = {41},\n\tcopyright = {All rights reserved},\n\tabstract = {XML collections that consist of subcollections from different sources pose a challenge with respect to syntactic, semantic and genre heterogeneity, because they are based on different DTDs or schemas, cover various topics and consist of diverse document types. This led to the establishment of the Heterogeneous Track at INEX 2006. The goal of the track was to set up a testbed consisting of several different and diverse collections and defining retrieval tasks and appropriate topics. These are the foundations for the Heterogeneous Track at INEX 2007, where the focus is on run submissions, relevance assessments and proper evaluation of the proposed methods dealing with a heterogeneous collection.},\n\tbooktitle = {{SIGIR} {Forum}},\n\tauthor = {Frommholz, Ingo and Larson, Ray R},\n\tmonth = jun,\n\tyear = {2007},\n\tnote = {Series Number: 1},\n}\n\n
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\n XML collections that consist of subcollections from different sources pose a challenge with respect to syntactic, semantic and genre heterogeneity, because they are based on different DTDs or schemas, cover various topics and consist of diverse document types. This led to the establishment of the Heterogeneous Track at INEX 2006. The goal of the track was to set up a testbed consisting of several different and diverse collections and defining retrieval tasks and appropriate topics. These are the foundations for the Heterogeneous Track at INEX 2007, where the focus is on run submissions, relevance assessments and proper evaluation of the proposed methods dealing with a heterogeneous collection.\n
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\n  \n 2006\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n Probabilistic, Object-oriented Logics for Annotation-based Retrieval in Digital Libraries.\n \n \n \n\n\n \n Frommholz, I.; and Fuhr, N.\n\n\n \n\n\n\n In Nelson, M.; Marshall, C.; and Marchionini, G., editor(s), Proc. of the 6th ACM/IEEE Joint Conference on Digital Libraries (JCDL 2006), pages 55–64, New York, 2006. ACM\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Frommholz/Fuhr:06,\n\taddress = {New York},\n\ttitle = {Probabilistic, {Object}-oriented {Logics} for {Annotation}-based {Retrieval} in {Digital} {Libraries}},\n\tcopyright = {All rights reserved},\n\tisbn = {1-59593-354-9},\n\tdoi = {10.1145/1141753.1141764},\n\tabstract = {In this paper we introduce POLAR, a probabilistic object-oriented{\\textbackslash}nlogical{\\textbackslash}nframework for annotation-based information retrieval. In POLAR, the{\\textbackslash}nknowledge about digital objects, annotations and their relationships in a{\\textbackslash}ndigital library repository can be modelled considering certain{\\textbackslash}ncharacteristics of annotations and annotated objects. Insights about these{\\textbackslash}ncharacteristics are gained by an analysis of the annotation models behind{\\textbackslash}nexisting systems and a discussion of an object-oriented, logical view{\\textbackslash}non relevant objects in a digital library. Retrieval methods applied in a{\\textbackslash}ndigital library should take annotations into account to satisfy users'{\\textbackslash}ninformation needs. POLAR thus supports a wide range of flexible and powerful{\\textbackslash}nannotation-based fact and content queries by{\\textbackslash}nmaking use of knowledge and relevance augmentation. An evaluation of our{\\textbackslash}napproach on email discussions shows performance improvements when{\\textbackslash}nannotation characteristics are considered.},\n\tbooktitle = {Proc. of the 6th {ACM}/{IEEE} {Joint} {Conference} on {Digital} {Libraries} ({JCDL} 2006)},\n\tpublisher = {ACM},\n\tauthor = {Frommholz, Ingo and Fuhr, Norbert},\n\teditor = {Nelson, Michael and Marshall, Cathy and Marchionini, Gary},\n\tyear = {2006},\n\tpages = {55--64},\n}\n\n
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\n In this paper we introduce POLAR, a probabilistic object-oriented\\nlogical\\nframework for annotation-based information retrieval. In POLAR, the\\nknowledge about digital objects, annotations and their relationships in a\\ndigital library repository can be modelled considering certain\\ncharacteristics of annotations and annotated objects. Insights about these\\ncharacteristics are gained by an analysis of the annotation models behind\\nexisting systems and a discussion of an object-oriented, logical view\\non relevant objects in a digital library. Retrieval methods applied in a\\ndigital library should take annotations into account to satisfy users'\\ninformation needs. POLAR thus supports a wide range of flexible and powerful\\nannotation-based fact and content queries by\\nmaking use of knowledge and relevance augmentation. An evaluation of our\\napproach on email discussions shows performance improvements when\\nannotation characteristics are considered.\n
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\n \n\n \n \n \n \n \n \n What did the Others Say? Probabilistic Indexing and Retrieval Models in Annotation-based Discussions.\n \n \n \n \n\n\n \n Frommholz, I.\n\n\n \n\n\n\n TCDL Bulletin, 2(2). 2006.\n \n\n\n\n
\n\n\n\n \n \n \"WhatPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Frommholz:05a,\n\ttitle = {What did the {Others} {Say}? {Probabilistic} {Indexing} and {Retrieval} {Models} in {Annotation}-based {Discussions}},\n\tvolume = {2},\n\tcopyright = {All rights reserved},\n\turl = {http://www.ieee-tcdl.org/Bulletin/v2n2/frommholz/frommholz.html},\n\tabstract = {Annotations, supporting different facets of Digital Libraries, can manifest themselves in different forms and dimensions. In the form of shared, textual and nested annotations they can be used to model discussions. Such discussions contain additional information that can be interesting for both document and discussion search. In my thesis I am going to develop a formal annotation model and, based on this, discuss and evaluate probabilistic indexing and retrieval models for annotation-based document and discussion search.},\n\tnumber = {2},\n\tjournal = {TCDL Bulletin},\n\tauthor = {Frommholz, Ingo},\n\tyear = {2006},\n}\n\n
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\n Annotations, supporting different facets of Digital Libraries, can manifest themselves in different forms and dimensions. In the form of shared, textual and nested annotations they can be used to model discussions. Such discussions contain additional information that can be interesting for both document and discussion search. In my thesis I am going to develop a formal annotation model and, based on this, discuss and evaluate probabilistic indexing and retrieval models for annotation-based document and discussion search.\n
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\n \n\n \n \n \n \n \n Evaluation of Relevance and Knowledge Augmentation in Discussion Search.\n \n \n \n\n\n \n Frommholz, I.; and Fuhr, N.\n\n\n \n\n\n\n In Gonzalo, J.; Thanos, C.; Verdejo, M F.; and Carrasco, R. C, editor(s), Research and Advanced Technology for Digital Libraries. Proc. of the 10th European Conference on Digital Libraries (ECDL 2006), pages 279–290, Heidelberg et al., September 2006. Springer\n Series Title: Lecture Notes in Computer Science\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Frommholz/Fuhr:06a,\n\taddress = {Heidelberg et al.},\n\ttitle = {Evaluation of {Relevance} and {Knowledge} {Augmentation} in {Discussion} {Search}},\n\tcopyright = {All rights reserved},\n\tabstract = {Annotation-based discussions are an important concept for today's digital libraries and those of the future, containing additional information to and about the content managed in the digital library. To gain access to this valuable information, discussion search is concerned with retrieving relevant annotations and comments w.r.t. a given query, making it an important means to satisfy users' information needs. Discussion search methods can make use of a variety of context information given by the structure of discussion threads. In this paper, we present and evaluate discussion search approaches which exploit quotations in different roles as highlight and context quotations, applying two different strategies, knowledge and relevance augmentation. Evaluation shows the suitability of these augmentation strategies for the task at hand; especially knowledge augmentation using both highlight and context quotations boosts retrieval effectiveness w.r.t. the given baseline.},\n\tbooktitle = {Research and {Advanced} {Technology} for {Digital} {Libraries}. {Proc}. of the 10th {European} {Conference} on {Digital} {Libraries} ({ECDL} 2006)},\n\tpublisher = {Springer},\n\tauthor = {Frommholz, Ingo and Fuhr, Norbert},\n\teditor = {Gonzalo, Julio and Thanos, Costantino and Verdejo, M Felisa and Carrasco, Rafael C},\n\tmonth = sep,\n\tyear = {2006},\n\tnote = {Series Title: Lecture Notes in Computer Science},\n\tpages = {279--290},\n}\n\n
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\n Annotation-based discussions are an important concept for today's digital libraries and those of the future, containing additional information to and about the content managed in the digital library. To gain access to this valuable information, discussion search is concerned with retrieving relevant annotations and comments w.r.t. a given query, making it an important means to satisfy users' information needs. Discussion search methods can make use of a variety of context information given by the structure of discussion threads. In this paper, we present and evaluate discussion search approaches which exploit quotations in different roles as highlight and context quotations, applying two different strategies, knowledge and relevance augmentation. Evaluation shows the suitability of these augmentation strategies for the task at hand; especially knowledge augmentation using both highlight and context quotations boosts retrieval effectiveness w.r.t. the given baseline.\n
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\n \n\n \n \n \n \n \n Integration of the DiLAS Annotation Service into Digital Library Infrastructures.\n \n \n \n\n\n \n Agosti, M.; Ferro, N.; Frommholz, I.; Panizzi, E.; Putz, W.; and Thiel, U.\n\n\n \n\n\n\n In Blandford, A.; and Gow, J., editor(s), Proc. Digital Libraries in the Context of Users' Broader Activities Workshop (CUBA) at JCDL 2006, June 2006. \n \n\n\n\n
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@inproceedings{Agosti/etal:06,\n\ttitle = {Integration of the {DiLAS} {Annotation} {Service} into {Digital} {Library} {Infrastructures}},\n\tcopyright = {All rights reserved},\n\tabstract = {In this paper we present DiLAS, a dedicated service for the management of annotations, supporting complex collaborative applications in distributed environments. The mission of DiLAS is to foster change in users' interaction with digital libaries (DL) and contribute to developing services for social infrastructures in DLs. We thus introduce a new independent annotation service for interactive knowledge creation and sharing, ready to be plugged into existing DL systems. As a show case, we discuss the integration of the DiLAS annotation service into DAFFODIL, an existing digital library management framework. As a future show case, the service is going to be integrated into the BRICKS infrastructure.},\n\tbooktitle = {Proc. {Digital} {Libraries} in the {Context} of {Users}' {Broader} {Activities} {Workshop} ({CUBA}) at {JCDL} 2006},\n\tauthor = {Agosti, Maristella and Ferro, Nicola and Frommholz, Ingo and Panizzi, Emanuele and Putz, Wolfgang and Thiel, Ulrich},\n\teditor = {Blandford, Ann and Gow, Jeremy},\n\tmonth = jun,\n\tyear = {2006},\n}\n\n
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\n In this paper we present DiLAS, a dedicated service for the management of annotations, supporting complex collaborative applications in distributed environments. The mission of DiLAS is to foster change in users' interaction with digital libaries (DL) and contribute to developing services for social infrastructures in DLs. We thus introduce a new independent annotation service for interactive knowledge creation and sharing, ready to be plugged into existing DL systems. As a show case, we discuss the integration of the DiLAS annotation service into DAFFODIL, an existing digital library management framework. As a future show case, the service is going to be integrated into the BRICKS infrastructure.\n
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\n \n\n \n \n \n \n \n KI-Methoden zur Email-Archivierung – Technologische Studie zum \"Inbox-Szenario\".\n \n \n \n\n\n \n Frommholz, I.; and Fuhr, N.\n\n\n \n\n\n\n Technical Report November 2006.\n \n\n\n\n
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@techreport{Frommholz/Fuhr:06b,\n\ttitle = {{KI}-{Methoden} zur {Email}-{Archivierung} -- {Technologische} {Studie} zum "{Inbox}-{Szenario}"},\n\tcopyright = {All rights reserved},\n\tauthor = {Frommholz, Ingo and Fuhr, Norbert},\n\tmonth = nov,\n\tyear = {2006},\n}\n\n
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\n  \n 2005\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n Supporting information access in next generation digital library architectures.\n \n \n \n\n\n \n Knežević, P.; Mehta, B.; Niederée, C.; Risse, T.; Thiel, U.; and Frommholz, I.\n\n\n \n\n\n\n In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 3664 LNCS, pages 207–222, 2005. \n ISSN: 03029743 16113349\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Knezevic2005,\n\ttitle = {Supporting information access in next generation digital library architectures},\n\tvolume = {3664 LNCS},\n\tcopyright = {All rights reserved},\n\tisbn = {3540287116 {\\textbar} 9783540287117},\n\tabstract = {Current developments on Service-oriented Architectures, Peer-to-Peer and Grid computing promise more open and flexible architectures for digital libraries. They will open the Digital Library (DL) technology to a wider clientele, allow faster adaptability and enable the usage of federative models on content and service provision. These technologies raise new challenges for the realization of DL functionalities, which are rooted in the increased heterogeneity of content, services and metadata, in the higher degree of distribution and dynamics, as well as in the omission of a central control instance. This paper discusses these opportunities and challenges for three central types of DL functionality revolving around information access: metadata management, retrieval functionality, and personalization services. © Springer-Verlag Berlin Heidelberg 2005.},\n\tbooktitle = {Lecture {Notes} in {Computer} {Science} (including subseries {Lecture} {Notes} in {Artificial} {Intelligence} and {Lecture} {Notes} in {Bioinformatics})},\n\tauthor = {Knežević, P. and Mehta, B. and Niederée, C. and Risse, T. and Thiel, U. and Frommholz, I.},\n\tyear = {2005},\n\tnote = {ISSN: 03029743 16113349},\n\tpages = {207--222},\n}\n\n
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\n Current developments on Service-oriented Architectures, Peer-to-Peer and Grid computing promise more open and flexible architectures for digital libraries. They will open the Digital Library (DL) technology to a wider clientele, allow faster adaptability and enable the usage of federative models on content and service provision. These technologies raise new challenges for the realization of DL functionalities, which are rooted in the increased heterogeneity of content, services and metadata, in the higher degree of distribution and dynamics, as well as in the omission of a central control instance. This paper discusses these opportunities and challenges for three central types of DL functionality revolving around information access: metadata management, retrieval functionality, and personalization services. © Springer-Verlag Berlin Heidelberg 2005.\n
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\n \n\n \n \n \n \n \n Queries in Context: Access to Digitized Historic Documents in a Collaboratory for the Humanities.\n \n \n \n\n\n \n Thiel, U.; Brocks, H.; Dirsch-Weigand, A.; Everts, A.; Frommholz, I.; and Stein, A.\n\n\n \n\n\n\n In Hemmje, M.; Niedereé, C.; and Risse, T., editor(s), From Integrated Publication and Information Systems to Virtual Information and Knowledge Environments. Essays Dedicated to Erich J. Neuhold on the Occasion of His 65th Birthday, pages 117–127. Springer, 2005.\n \n\n\n\n
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@incollection{Thiel/etal:05,\n\ttitle = {Queries in {Context}: {Access} to {Digitized} {Historic} {Documents} in a {Collaboratory} for the {Humanities}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {From {Integrated} {Publication} and {Information} {Systems} to {Virtual} {Information} and {Knowledge} {Environments}. {Essays} {Dedicated} to {Erich} {J}. {Neuhold} on the {Occasion} of {His} 65th {Birthday}},\n\tpublisher = {Springer},\n\tauthor = {Thiel, Ulrich and Brocks, Holger and Dirsch-Weigand, Andrea and Everts, André and Frommholz, Ingo and Stein, Adelheit},\n\teditor = {Hemmje, Matthias and Niedereé, Claudia and Risse, Thomas},\n\tyear = {2005},\n\tpages = {117--127},\n}\n\n
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\n \n\n \n \n \n \n \n DiLAS: a Digital Library Annotation Service.\n \n \n \n\n\n \n Agosti, M.; Albrechtsen, H.; Ferro, N.; Frommholz, I.; Hansen, P.; Orio, N.; Panizzi, E.; Pejtersen, A. M.; and Thiel, U.\n\n\n \n\n\n\n In Proceedings of Annotation for Collaboration – A Workshop on Annotation Models, Tools and Practices, 2005. \n \n\n\n\n
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@inproceedings{Agosti/etal:05,\n\ttitle = {{DiLAS}: a {Digital} {Library} {Annotation} {Service}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of {Annotation} for {Collaboration} -- {A} {Workshop} on {Annotation} {Models}, {Tools} and {Practices}},\n\tauthor = {Agosti, Maristella and Albrechtsen, Hanne and Ferro, Nicola and Frommholz, Ingo and Hansen, Preben and Orio, Nicola and Panizzi, Emanuele and Pejtersen, Annelise Mark and Thiel, Ulrich},\n\tyear = {2005},\n}\n\n
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\n \n\n \n \n \n \n \n Applying the Annotation View on Messages for Discussion Search.\n \n \n \n\n\n \n Frommholz, I.\n\n\n \n\n\n\n In Voorhees, E M; and Buckland, L. P, editor(s), The Fourteenth Text REtrieval Conference (TREC 2005), Gaithersburg, MD, USA, 2005. NIST\n \n\n\n\n
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@inproceedings{Frommholz:05,\n\taddress = {Gaithersburg, MD, USA},\n\ttitle = {Applying the {Annotation} {View} on {Messages} for {Discussion} {Search}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {The {Fourteenth} {Text} {REtrieval} {Conference} ({TREC} 2005)},\n\tpublisher = {NIST},\n\tauthor = {Frommholz, Ingo},\n\teditor = {Voorhees, E M and Buckland, Lori P},\n\tyear = {2005},\n}\n\n
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\n \n\n \n \n \n \n \n Annotation-based Document Retrieval with Four-Valued Probabilistic Datalog.\n \n \n \n\n\n \n Frommholz, I.; Thiel, U.; and Kamps, T.\n\n\n \n\n\n\n In Rölleke, T.; and de Vries, A. P, editor(s), Proceedings of the first SIGIR Workshop on the Integration of Information Retrieval and Databases (WIRD'04), pages 31–38, Sheffield, UK, 2004. \n \n\n\n\n
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@inproceedings{Frommholz/etal:04a,\n\taddress = {Sheffield, UK},\n\ttitle = {Annotation-based {Document} {Retrieval} with {Four}-{Valued} {Probabilistic} {Datalog}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the first {SIGIR} {Workshop} on the {Integration} of {Information} {Retrieval} and {Databases} ({WIRD}'04)},\n\tauthor = {Frommholz, Ingo and Thiel, Ulrich and Kamps, Thomas},\n\teditor = {Rölleke, Thomas and de Vries, Arjen P},\n\tyear = {2004},\n\tpages = {31--38},\n}\n\n
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\n \n\n \n \n \n \n \n Digital libraries as experienced by the editors of the journal.\n \n \n \n\n\n \n Neuhold, E.; and Frommholz, I.\n\n\n \n\n\n\n International Journal on Digital Libraries, 4(1): 1–2. 2004.\n \n\n\n\n
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@article{Neuhold2004b,\n\ttitle = {Digital libraries as experienced by the editors of the journal},\n\tvolume = {4},\n\tcopyright = {All rights reserved},\n\tissn = {14325012 14321300},\n\tdoi = {10.1007/s00799-003-0051-y},\n\tnumber = {1},\n\tjournal = {International Journal on Digital Libraries},\n\tauthor = {Neuhold, E. and Frommholz, I.},\n\tyear = {2004},\n\tpages = {1--2},\n}\n\n
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\n \n\n \n \n \n \n \n COLLATE - A Collaboratory Supporting Research on Historic European Films.\n \n \n \n\n\n \n Thiel, U.; Brocks, H.; Frommholz, I.; Dirsch-Weigand, A.; Keiper, J.; Stein, A.; and Neuhold, E.\n\n\n \n\n\n\n International Journal on Digital Libraries (IJDL), 4(1): 8–12. 2004.\n Series Number: 1\n\n\n\n
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@article{Thiel/etal:04,\n\ttitle = {{COLLATE} - {A} {Collaboratory} {Supporting} {Research} on {Historic} {European} {Films}},\n\tvolume = {4},\n\tcopyright = {All rights reserved},\n\tnumber = {1},\n\tjournal = {International Journal on Digital Libraries (IJDL)},\n\tauthor = {Thiel, Ulrich and Brocks, Holger and Frommholz, Ingo and Dirsch-Weigand, Andrea and Keiper, Jürgen and Stein, Adelheit and Neuhold, Erich},\n\tyear = {2004},\n\tnote = {Series Number: 1},\n\tpages = {8--12},\n}\n\n
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\n \n\n \n \n \n \n \n Using Case Based Retrieval Techniques for Handling anomalous Situations in Advisory Dialogues.\n \n \n \n\n\n \n L'Abbate, M.; Frommholz, I.; Thiel, U.; and Neuhold, E.\n\n\n \n\n\n\n In Galindo, F.; Takizawa, M.; and Traunm Ller, R., editor(s), Proceedings of the 15th International Conference on Database and Expert Systems Application (DEXA 2004), pages 539–548, 2004. \n \n\n\n\n
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@inproceedings{Labbate/etal:04,\n\ttitle = {Using {Case} {Based} {Retrieval} {Techniques} for {Handling} anomalous {Situations} in {Advisory} {Dialogues}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proceedings of the 15th {International} {Conference} on {Database} and {Expert} {Systems} {Application} ({DEXA} 2004)},\n\tauthor = {L'Abbate, Marcello and Frommholz, Ingo and Thiel, Ulrich and Neuhold, Erich},\n\teditor = {Galindo, Fernando and Takizawa, Makoto and Traunm Ller, Roland},\n\tyear = {2004},\n\tpages = {539--548},\n}\n\n
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\n \n\n \n \n \n \n \n Annotations in Digital Libraries and Collaboratories – Facets, Models and Usage.\n \n \n \n\n\n \n Agosti, M.; Ferro, N.; Frommholz, I.; and Thiel, U.\n\n\n \n\n\n\n In Heery, R.; and Lyon, L., editor(s), Research and Advanced Technology for Digital Libraries. Proc. European Conference on Digital Libraries (ECDL 2004), pages 244–255, Heidelberg et al., 2004. Springer\n Series Title: Lecture Notes in Computer Science\n\n\n\n
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@inproceedings{Agosti/etal:04,\n\taddress = {Heidelberg et al.},\n\ttitle = {Annotations in {Digital} {Libraries} and {Collaboratories} -- {Facets}, {Models} and {Usage}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Research and {Advanced} {Technology} for {Digital} {Libraries}. {Proc}. {European} {Conference} on {Digital} {Libraries} ({ECDL} 2004)},\n\tpublisher = {Springer},\n\tauthor = {Agosti, Maristella and Ferro, Nicola and Frommholz, Ingo and Thiel, Ulrich},\n\teditor = {Heery, Rachel and Lyon, Liz},\n\tyear = {2004},\n\tnote = {Series Title: Lecture Notes in Computer Science},\n\tpages = {244--255},\n}\n\n
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\n \n\n \n \n \n \n \n The Role of Context for Information Mediation in Digital Libraries.\n \n \n \n\n\n \n Neuhold, E.; Niedereé, C.; Stewart, A.; Frommholz, I.; and Mehta, B.\n\n\n \n\n\n\n In Proc. of the 7th International Conference on Asian Digital Libraries: International Collaboration and Cross-Fertilization (ICADL 2004), pages 133–143, 2004. \n \n\n\n\n
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@inproceedings{Neuhold2004,\n\ttitle = {The {Role} of {Context} for {Information} {Mediation} in {Digital} {Libraries}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Proc. of the 7th {International} {Conference} on {Asian} {Digital} {Libraries}: {International} {Collaboration} and {Cross}-{Fertilization} ({ICADL} 2004)},\n\tauthor = {Neuhold, Erich and Niedereé, Claudia and Stewart, Avaré and Frommholz, Ingo and Mehta, Bhaskar},\n\tyear = {2004},\n\tpages = {133--143},\n}\n\n
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\n \n\n \n \n \n \n \n Supporting Information Access in Next Generation Digital Library Architectures.\n \n \n \n\n\n \n Frommholz, I.; Knežević, P.; Mehta, B.; Niedereé, C.; Risse, T.; and Thiel, U.\n\n\n \n\n\n\n In Agosti, M.; Schek, H.; and Türker, C., editor(s), Digital Library Architectures: Peer-to-Peer, Grid, and Service-Orientation. Proceedings of the Sixth Thematic Workshop of the EU Network of Excellence DELOS, pages 49–60, Cagliari, Italy, June 2004. \n \n\n\n\n
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@inproceedings{Frommholz/etal:04,\n\taddress = {Cagliari, Italy},\n\ttitle = {Supporting {Information} {Access} in {Next} {Generation} {Digital} {Library} {Architectures}},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Digital {Library} {Architectures}: {Peer}-to-{Peer}, {Grid}, and {Service}-{Orientation}. {Proceedings} of the {Sixth} {Thematic} {Workshop} of the {EU} {Network} of {Excellence} {DELOS}},\n\tauthor = {Frommholz, Ingo and Knežević, Predrag and Mehta, Bhaskar and Niedereé, Claudia and Risse, Thomas and Thiel, Ulrich},\n\teditor = {Agosti, Maristella and Schek, Hans-Jörg and Türker, Can},\n\tmonth = jun,\n\tyear = {2004},\n\tpages = {49--60},\n}\n\n
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\n \n\n \n \n \n \n \n Editorial of the International Journal on Digital Libraries Special Issue \"Digital Libraries as Experienced by the Editors of the Journal\".\n \n \n \n\n\n \n Neuhold, E.; and Frommholz, I.\n\n\n \n\n\n\n International Journal on Digital Libraries (IJDL), special Issue \"Digital Libraries as Experienced by the Editors of the Journal\", 4: 1–2. 2004.\n Series Number: 1\n\n\n\n
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@article{Neuhold/Frommholz:04,\n\ttitle = {Editorial of the {International} {Journal} on {Digital} {Libraries} {Special} {Issue} "{Digital} {Libraries} as {Experienced} by the {Editors} of the {Journal}"},\n\tvolume = {4},\n\tcopyright = {All rights reserved},\n\tjournal = {International Journal on Digital Libraries (IJDL), special Issue "Digital Libraries as Experienced by the Editors of the Journal"},\n\tauthor = {Neuhold, Erich and Frommholz, Ingo},\n\tyear = {2004},\n\tnote = {Series Number: 1},\n\tpages = {1--2},\n}\n\n
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\n \n\n \n \n \n \n \n Document-centered Collaboration for Scholars in the Humanities - The COLLATE System.\n \n \n \n\n\n \n Frommholz, I.; Brocks, H.; Thiel, U.; Neuhold, E.; Iannone, L.; Semeraro, G.; Berardi, M.; and Ceci, M.\n\n\n \n\n\n\n In Constantopoulos, P.; and Sølvberg, I. T, editor(s), Research and Advanced Technology for Digital Libraries. Proc. European Conference on Digital Libraries (ECDL 2003), pages 434–445, Heidelberg et al., 2003. Springer\n Series Title: Lecture Notes in Computer Science\n\n\n\n
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@inproceedings{Frommholz/etal:03,\n\taddress = {Heidelberg et al.},\n\ttitle = {Document-centered {Collaboration} for {Scholars} in the {Humanities} - {The} {COLLATE} {System}},\n\tcopyright = {All rights reserved},\n\tabstract = {In contrast to electronic document collections we find in contemporary digital libraries, systems applied in a cultural domain have to satisfy specific requirements with respect to data ingest, management, and access. Such systems should as well be able to support the collaborative work of domain experts and furthermore offer mechanisms to exploit the value-added information resulting from collaborative process like scientific discussions. In this paper, we present the solutions to these requirements developed and realized in the COLLATE system, where advanced methods for document classification, content management, and context-based retrieval using scientific discourses are applied.},\n\tbooktitle = {Research and {Advanced} {Technology} for {Digital} {Libraries}. {Proc}. {European} {Conference} on {Digital} {Libraries} ({ECDL} 2003)},\n\tpublisher = {Springer},\n\tauthor = {Frommholz, Ingo and Brocks, Holger and Thiel, Ulrich and Neuhold, Erich and Iannone, Luigi and Semeraro, Giovanni and Berardi, Magarita and Ceci, Michaele},\n\teditor = {Constantopoulos, Panos and Sølvberg, Ingeborg T},\n\tyear = {2003},\n\tnote = {Series Title: Lecture Notes in Computer Science},\n\tpages = {434--445},\n}\n\n
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\n In contrast to electronic document collections we find in contemporary digital libraries, systems applied in a cultural domain have to satisfy specific requirements with respect to data ingest, management, and access. Such systems should as well be able to support the collaborative work of domain experts and furthermore offer mechanisms to exploit the value-added information resulting from collaborative process like scientific discussions. In this paper, we present the solutions to these requirements developed and realized in the COLLATE system, where advanced methods for document classification, content management, and context-based retrieval using scientific discourses are applied.\n
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\n \n\n \n \n \n \n \n Kontextbasiertes Retrieval unter Verwendung verknüpfter Annotationen.\n \n \n \n\n\n \n Frommholz, I.; Brocks, H.; Thiel, U.; and Stein, A.\n\n\n \n\n\n\n In 32. GI-Jahrestagung, pages 161–165, Heidelberg et al., October 2002. Springer\n Series Title: Informatik 2002\n\n\n\n
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@inproceedings{Frommholz/etal:02,\n\taddress = {Heidelberg et al.},\n\ttitle = {Kontextbasiertes {Retrieval} unter {Verwendung} verknüpfter {Annotationen}},\n\tcopyright = {All rights reserved},\n\tabstract = {Kollaborative Arbeitsumgebungen im Web k�nnen Mechanismen enthalten, mit denen neben dem Erstellen von zum Dokument geh�enden Metadaten auch ein wissenschaftlicher Diskurs �ber das eigentliche Dokument gef�hrt werden kann (z.B. �ber freie Annotationen). Dieser Diskurs kann wertvolle Informationen �ber das Dokument enthalten, die aus den Metadaten nicht ersichtlich sind. Es wird gezeigt, wie sich ein solcher wissenschaftlicher Diskurs mittels Annotationen und Diskursstrukturrelationen modellieren l��t und wie man die daraus gewonnenen Informationen beim Retrieval ausnutzen kann.},\n\tbooktitle = {32. {GI}-{Jahrestagung}},\n\tpublisher = {Springer},\n\tauthor = {Frommholz, Ingo and Brocks, Holger and Thiel, Ulrich and Stein, Adelheit},\n\tmonth = oct,\n\tyear = {2002},\n\tnote = {Series Title: Informatik 2002},\n\tpages = {161--165},\n}\n\n
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\n Kollaborative Arbeitsumgebungen im Web k�nnen Mechanismen enthalten, mit denen neben dem Erstellen von zum Dokument geh�enden Metadaten auch ein wissenschaftlicher Diskurs �ber das eigentliche Dokument gef�hrt werden kann (z.B. �ber freie Annotationen). Dieser Diskurs kann wertvolle Informationen �ber das Dokument enthalten, die aus den Metadaten nicht ersichtlich sind. Es wird gezeigt, wie sich ein solcher wissenschaftlicher Diskurs mittels Annotationen und Diskursstrukturrelationen modellieren l��t und wie man die daraus gewonnenen Informationen beim Retrieval ausnutzen kann.\n
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\n \n\n \n \n \n \n \n How to Incorporate Collaborative Discourse in Cultural Digital Libraries.\n \n \n \n\n\n \n Brocks, H.; Stein, A.; Thiel, U.; Frommholz, I.; and Dirsch-Weigand, A.\n\n\n \n\n\n\n In Proceedings of the ECAI 2002 Workshop on Semantic Authoring, Annotation & Knowledge Markup (SAAKM02), Lyon, France, July 2002. \n \n\n\n\n
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@inproceedings{Brocks/etal:02,\n\taddress = {Lyon, France},\n\ttitle = {How to {Incorporate} {Collaborative} {Discourse} in {Cultural} {Digital} {Libraries}},\n\tcopyright = {All rights reserved},\n\tabstract = {Discourse structure relations can be used to establish collaborative discourses within a cultural digital library. Ranging from factual to more interpersonal levels they describe the intended relations between data and metadata objects, especially annotations. Pragmatics aspects are covered by communicative acts, which complement the discourse structure relations and provide means for meta-communication. The resulting interrelations between the various domain objects can be employed to perform advanced context -based retrieval.},\n\tbooktitle = {Proceedings of the {ECAI} 2002 {Workshop} on {Semantic} {Authoring}, {Annotation} \\& {Knowledge} {Markup} ({SAAKM02})},\n\tauthor = {Brocks, Holger and Stein, Adelheit and Thiel, Ulrich and Frommholz, Ingo and Dirsch-Weigand, Andrea},\n\tmonth = jul,\n\tyear = {2002},\n}\n
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\n Discourse structure relations can be used to establish collaborative discourses within a cultural digital library. Ranging from factual to more interpersonal levels they describe the intended relations between data and metadata objects, especially annotations. Pragmatics aspects are covered by communicative acts, which complement the discourse structure relations and provide means for meta-communication. The resulting interrelations between the various domain objects can be employed to perform advanced context -based retrieval.\n
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\n \n\n \n \n \n \n \n Automatische Kategorisierung von Web-Dokumenten.\n \n \n \n\n\n \n Frommholz, I.\n\n\n \n\n\n\n Ph.D. Thesis, University of Dortmund, January 2001.\n \n\n\n\n
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@phdthesis{Frommholz:01,\n\ttype = {Diploma {Thesis}},\n\ttitle = {Automatische {Kategorisierung} von {Web}-{Dokumenten}},\n\tcopyright = {All rights reserved},\n\tschool = {University of Dortmund},\n\tauthor = {Frommholz, Ingo},\n\tmonth = jan,\n\tyear = {2001},\n}\n\n
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\n \n\n \n \n \n \n \n Categorizing Web Documents in Hierarchical Catalogues.\n \n \n \n\n\n \n Frommholz, I.\n\n\n \n\n\n\n In 23rd European Colloquium on Information Retrieval Research (ECIR 2001), March 2001. \n \n\n\n\n
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@inproceedings{Frommholz:01a,\n\ttitle = {Categorizing {Web} {Documents} in {Hierarchical} {Catalogues}},\n\tcopyright = {All rights reserved},\n\tabstract = {Automatic categorization of web documents (e.g. HTML documents) denotes the task of automatically finding relevant categories for a (new) document which is to be inserted into a web catalogue like Yahoo!.Thereexist many approaches for performing this difficult task. Here, special kinds of web catalogues, those whose category scheme is hierarchically ordered, are regarded. A method for using the knowledge about the hierarchy to gain better categorization results is discussed. This method can be applied in a post-processing step and therefore be combined with other known (non-hierarchical) categorization approaches.},\n\tbooktitle = {23rd {European} {Colloquium} on {Information} {Retrieval} {Research} ({ECIR} 2001)},\n\tauthor = {Frommholz, Ingo},\n\tmonth = mar,\n\tyear = {2001},\n}\n\n
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\n Automatic categorization of web documents (e.g. HTML documents) denotes the task of automatically finding relevant categories for a (new) document which is to be inserted into a web catalogue like Yahoo!.Thereexist many approaches for performing this difficult task. Here, special kinds of web catalogues, those whose category scheme is hierarchically ordered, are regarded. A method for using the knowledge about the hierarchy to gain better categorization results is discussed. This method can be applied in a post-processing step and therefore be combined with other known (non-hierarchical) categorization approaches.\n
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\n \n\n \n \n \n \n \n Ausarbeitung von Lösungsansätzen für die Erstellung eines Thesaurus-basierten Geologischen Informationssystems des Bayerischen Geologischen Landesamts München.\n \n \n \n\n\n \n Frommholz, I.; and Hemmje, M.\n\n\n \n\n\n\n Technical Report Fraunhofer IPSI, Darmstadt, 2001.\n \n\n\n\n
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@techreport{Frommholz2001,\n\taddress = {Darmstadt},\n\ttitle = {Ausarbeitung von {Lösungsansätzen} für die {Erstellung} eines {Thesaurus}-basierten {Geologischen} {Informationssystems} des {Bayerischen} {Geologischen} {Landesamts} {München}},\n\tcopyright = {All rights reserved},\n\tinstitution = {Fraunhofer IPSI},\n\tauthor = {Frommholz, Ingo and Hemmje, Matthias},\n\tyear = {2001},\n}\n\n
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